<!DOCTYPE html>
<html lang="en-US">
<head>
<meta http-equiv="Content-Type" content="text/html; charset=UTF-8">
<meta http-equiv="X-UA-Compatible" content="IE=edge">
<title>mean_curvature_flow [HALCON算子参考手册]</title>
<style type="text/css">
      body {
    color: #000000;
    background-color: #ffffff;
    margin: 0;
    font-family: Arial, Helvetica, sans-serif;
}

.body_main {
    margin-left: 35px;
    margin-right: 35px;
}

@media screen and (min-width:992px) {

    .body_main {
        margin-left: 10%;
        margin-right: 10%;
    }

    table.toctable {
        width: 80%
    }
}

@media screen and (min-width:1400px) {

    .body_main {
        margin-left: 15%;
        margin-right: 15%;
    }

    table.toctable {
        width: 70%
    }
}

body>div ul ul {
    margin-left: inherit;
}

a:link {
    color: #0044cc;
}

a:link,
a:visited {
    text-decoration: none;
}

a:link:hover,
a:visited:hover {
    text-decoration: underline;
}

th {
    text-align: left;
}

h1,
h2,
h3,
h4,
h5,
h6 {
    text-rendering: optimizeLegibility;
    color: #666666;
}

code {
    font-family: monospace,monospace;
}

h1 a.halconoperator {
    font-family: Arial, Helvetica, sans-serif;
    color: #666666;
}

h2 a.halconoperator {
    font-family: Arial, Helvetica, sans-serif;
    color: #666666;
}

hr {
    border: 0;
    border-top: solid 1px #f28d26;
}

.pre {
    display: block;
    padding-bottom: 1ex;
    font-family: monospace;
    white-space: pre;
}

pre {
    font-family: monospace, monospace;
    padding: 1ex;
    white-space: pre-wrap;
}

.toc {
    font-size: 80%;
    border-top: 1px dashed #f28d26;
    border-bottom: 1px dashed #f28d26;
    padding-top: 5px;
    padding-bottom: 5px;
}

.inv {
    margin: 0;
    border: 0;
    padding: 0;
}

.banner {
    color: #666666;
    padding-left: 1em;
}

.logo {
    background-color: white;
}

.keyboard {
    font-size: 80%;
    padding-left: 3px;
    padding-right: 3px;
    border-radius: 5px;
    border-width: 1px;
    border-style: solid;
    border-color: #f28d26;
    background-color: #f3f3f3;
}

.warning {
    margin-top: 2ex;
    margin-bottom: 1ex;
    padding: 10px;
    text-align: center;
    border: 1px solid;
    color: #bb0000;
    background-color: #fff7f7
}

.imprint {
    margin-top: 1ex;
    font-size: 80%;
    color: #666666;
}

.imprinthead {
    font-weight: bolder;
    color: #666666;
}

.indexlink {
    text-align: right;
    padding-bottom: 5px;
}

.postscript {
    margin-top: 2ex;
    font-size: 80%;
    color: #666666
}

.evenrow {
    background-color: #e7e7ef;
    vertical-align: top;
}

.oddrow {
    background-color: #f7f7ff;
    vertical-align: top;
}

.headrow {
    background-color: #97979f;
    color: #ffffff;
    vertical-align: top;
}

.logorow {
    vertical-align: top;
}

.error {
    color: red;
}

.var {
    font-style: italic
}

.halconoperator {
    font-family: monospace, monospace;
}

span.operator {
    font-family: monospace, monospace;
}

span.procedure {
    font-family: monospace, monospace;
}

span.operation {
    font-family: monospace, monospace;
}

span.feature {
    font-family: Arial, Helvetica, Homerton, sans-serif;
}

ul {
    padding-left: 1.2em;
}

li.dot {
    list-style-type: square;
    color: #f28d26;
}

.breadcrumb {
    font-size: 80%;
    color: white;
    background-color: #062d64;
    margin-bottom: 20px;
    padding-left: 35px;
    padding-right: 35px;
    padding-bottom: 15px;
}

.webbar {
    font-size: 80%;
    background-color: #dddddd;
    margin-top: 0px;
    margin-left: -35px;
    margin-right: -35px;
    margin-bottom: 0px;
    padding-top: 5px;
    padding-left: 35px;
    padding-right: 35px;
    padding-bottom: 5px;
}

.footer {
    display: flex;
    flex-wrap: wrap;
    justify-content: space-between;
    border-top: 1px dashed #f28d26;
    font-size: 80%;
    color: #666666;
    padding-bottom: 8px;
}

.footer .socialmedia a {
    padding-left: 7px;
}

.socialmedia {
    padding-top: 10px;
}

.copyright {
    margin-top: 19px;
}

.breadcrumb a {
    color: #ffffff;
    border-bottom: 1px solid white;
}

.breadcrumb a:link:hover,
.breadcrumb a:visited:hover {
    text-decoration: none;
    border-bottom: none;
}

.heading {
    margin-top: 1ex;
    font-size: 110%;
    font-weight: bold;
    color: #666666;
}

.text {
    color: black;
}

.example {
    font-size: 80%;
    background-color: #f3f3f3;
    border: 1px dashed #666666;
    padding: 10px;
}

.displaymath {
    display: block;
    text-align: center;
    margin-top: 1ex;
    margin-bottom: 1ex;
}

.title {
    float: left;
    padding-top: 3px;
    padding-bottom: 3px;
}

.signnote {
    font-family: Arial, Helvetica, Homerton, sans-serif;
    font-size: 80%;
    color: #666666;
    font-weight: lighter;
    font-style: italic
}

.par {
    margin-bottom: 1.5em;
}

.parhead {
    text-align: right;
}

.parname {
    float: left;
}

.pardesc {
    font-size: 85%;
    margin-top: 0.5em;
    margin-bottom: 0.5em;
    margin-left: 2em;
}

.parcat {
    color: #666;
    font-weight: bold;
}

*[data-if=cpp],
*[data-if=c],
*[data-if=dotnet],
*[data-if=com],
*[data-if=python] {
    display: none;
}

.tabbar {
    text-align: right;
    border-bottom: 1px solid #f28d26;
    margin-bottom: 0.5em;
}

ul.tabs {
    padding-top: 3px;
    padding-bottom: 3px;
    margin-top: 10px;
    margin-bottom: 0;
    font-size: 80%
}

ul.tabs li {
    padding-top: 3px;
    padding-bottom: 3px;
    display: inline;
    overflow: hidden;
    list-style-type: none;
    margin: 0;
    margin-left: 8px;
    border-top: 1px solid #666;
    border-left: 1px solid #666;
    border-right: 1px solid #666;
}

ul.tabs li.active {
    border-left: 1px solid #f28d26;
    border-right: 1px solid #f28d26;
    border-top: 1px solid #f28d26;
    border-bottom: 1px solid #fff;
}

ul.tabs li.inactive {
    background-color: #eee;
}

ul.tabs li a {
    padding-left: 5px;
    padding-right: 5px;
    color: #666;
}

ul.tabs li a:link:hover {
    text-decoration: none;
}

ul.tabs li.inactive a {
    color: #666;
}

ul.tabs li.active a {
    color: black;
}

dl.generic dd {
    margin-bottom: 1em;
}

.pari {
    color: olive;
}

.paro {
    color: maroon;
}

.comment {
    font-size: 80%;
    color: green;
    white-space: nowrap;
}

table.grid {
    border-collapse: collapse;
}

table.grid td {
    padding: 5px;
    border: 1px solid;
}

table.layout {
    border: 0px;
}

table.layout td {
    padding: 5px;
}

table.table {
    border-collapse: collapse;
}

table.table td {
    padding: 5px;
    border-left: 0px;
    border-right: 0px;
}

table.table tr:last-child {
    border-bottom: 1px solid;
}

table.table th {
    padding: 5px;
    border-top: 1px solid;
    border-bottom: 1px solid;
    border-left: 0px;
    border-right: 0px;
}

.details_summary {
    cursor: pointer;
}

table.toctable {
    width: 100%;
}

table.toctable col:first-child {
    width: 20%;
}

table.toctable col:nth-last-child(2) {
    width: 8%;
}

table.altcolored tr:nth-child(even) {
    background-color: #f3f3f3;
}

    </style>
<!--OP_REF_STYLE_END-->
<script>
    <!--
var active_lang='hdevelop';function switchVisibility(obj,active_lang,new_lang)
{var display_style='inline';
for(var i=0;i<obj.length;i++)
{if(obj.item(i).getAttribute('data-if')==new_lang)
{obj.item(i).style.display=display_style;}
if(obj.item(i).getAttribute('data-if')==active_lang)
{obj.item(i).style.display='none';}}
return;}
function toggleLanguage(new_lang,initial)
{if(active_lang!=new_lang)
{var lis=document.getElementsByTagName('li');for(var i=0;i<lis.length;i++)
{if(lis.item(i).id=='syn-'+new_lang)
{lis.item(i).className='active';}
else
{lis.item(i).className='inactive';}}
var divs=document.getElementsByTagName('div');var spans=document.getElementsByTagName('span');switchVisibility(divs,active_lang,new_lang);switchVisibility(spans,active_lang,new_lang);if(!initial)
{setCookie("halcon_reference_language",new_lang,null,null);}
active_lang=new_lang;}
return;}
function setCookie(name,value,domain,exp_offset,path,secure)
{localStorage.setItem(name,value);}
function getCookie(name)
{return localStorage.getItem(name);}
function initialize()
{var qs=location.href.split('?')[1];var qs_lang_raw=location.href.split('interface=')[1];var qs_lang;if(qs_lang_raw)
{qs_lang=qs_lang_raw.split('#')[0];}
var cookie_lang=getCookie("halcon_reference_language");var new_lang;if((qs_lang=="hdevelop")||(qs_lang=="dotnet")||(qs_lang=="python")||(qs_lang=="cpp")||(qs_lang=="c"))
{new_lang=qs_lang;setCookie("halcon_reference_language",new_lang,null,null);}
else if((cookie_lang=="hdevelop")||(cookie_lang=="dotnet")||(cookie_lang=="python")||(cookie_lang=="cpp")||(cookie_lang=="c"))
{new_lang=cookie_lang;}
else
{new_lang="hdevelop";}
toggleLanguage(new_lang,1);return;}
-->

  </script>
</head>
<body onload="initialize();">
<div class="breadcrumb">
<br class="inv"><a href="index.html">目录</a> / <a href="toc_filters.html">过滤器</a> / <a href="toc_filters_enhancement.html">Enhancement</a><br class="inv">
</div>
<div class="body_main">
<div class="tabbar"><ul class="tabs">
<li id="syn-hdevelop" class="active"><a href="javascript:void(0);" onclick="toggleLanguage('hdevelop')" onfocus="blur()">HDevelop</a></li>
<li id="syn-dotnet" class="inactive"><a href="javascript:void(0);" onclick="toggleLanguage('dotnet')" onfocus="blur()">.NET</a></li>
<li id="syn-python" class="inactive"><a href="javascript:void(0);" onclick="toggleLanguage('python')" onfocus="blur()">Python</a></li>
<li id="syn-cpp" class="inactive"><a href="javascript:void(0);" onclick="toggleLanguage('cpp')" onfocus="blur()">C++</a></li>
<li id="syn-c" class="inactive"><a href="javascript:void(0);" onclick="toggleLanguage('c')" onfocus="blur()">C</a></li>
</ul></div>
<div class="indexlink">
<a href="index_classes.html"><span data-if="dotnet" style="display:none;">类别</span><span data-if="cpp" style="display:none;">类别</span></a><span data-if="dotnet" style="display:none;"> | </span><span data-if="cpp" style="display:none;"> | </span><a href="index_by_name.html">算子列表</a>
</div>
<!--OP_REF_HEADER_END-->
<h1 id="sec_name">
<span data-if="hdevelop" style="display:inline;">mean_curvature_flow</span><span data-if="c" style="display:none;">mean_curvature_flow</span><span data-if="cpp" style="display:none;">MeanCurvatureFlow</span><span data-if="dotnet" style="display:none;">MeanCurvatureFlow</span><span data-if="python" style="display:none;">mean_curvature_flow</span> (算子名称)</h1>
<h2>名称</h2>
<p><code><span data-if="hdevelop" style="display:inline;">mean_curvature_flow</span><span data-if="c" style="display:none;">mean_curvature_flow</span><span data-if="cpp" style="display:none;">MeanCurvatureFlow</span><span data-if="dotnet" style="display:none;">MeanCurvatureFlow</span><span data-if="python" style="display:none;">mean_curvature_flow</span></code> — Apply the mean curvature flow to an image.</p>
<h2 id="sec_synopsis">参数签名</h2>
<div data-if="hdevelop" style="display:inline;">
<p>
<code><b>mean_curvature_flow</b>(<a href="#Image"><i>Image</i></a> : <a href="#ImageMCF"><i>ImageMCF</i></a> : <a href="#Sigma"><i>Sigma</i></a>, <a href="#Theta"><i>Theta</i></a>, <a href="#Iterations"><i>Iterations</i></a> : )</code></p>
</div>
<div data-if="c" style="display:none;">
<p>
<code>Herror <b>mean_curvature_flow</b>(const Hobject <a href="#Image"><i>Image</i></a>, Hobject* <a href="#ImageMCF"><i>ImageMCF</i></a>, double <a href="#Sigma"><i>Sigma</i></a>, double <a href="#Theta"><i>Theta</i></a>, const Hlong <a href="#Iterations"><i>Iterations</i></a>)</code></p>
<p>
<code>Herror <b>T_mean_curvature_flow</b>(const Hobject <a href="#Image"><i>Image</i></a>, Hobject* <a href="#ImageMCF"><i>ImageMCF</i></a>, const Htuple <a href="#Sigma"><i>Sigma</i></a>, const Htuple <a href="#Theta"><i>Theta</i></a>, const Htuple <a href="#Iterations"><i>Iterations</i></a>)</code></p>
</div>
<div data-if="cpp" style="display:none;">
<p>
<code>void <b>MeanCurvatureFlow</b>(const HObject&amp; <a href="#Image"><i>Image</i></a>, HObject* <a href="#ImageMCF"><i>ImageMCF</i></a>, const HTuple&amp; <a href="#Sigma"><i>Sigma</i></a>, const HTuple&amp; <a href="#Theta"><i>Theta</i></a>, const HTuple&amp; <a href="#Iterations"><i>Iterations</i></a>)</code></p>
<p>
<code><a href="HImage.html">HImage</a> <a href="HImage.html">HImage</a>::<b>MeanCurvatureFlow</b>(double <a href="#Sigma"><i>Sigma</i></a>, double <a href="#Theta"><i>Theta</i></a>, Hlong <a href="#Iterations"><i>Iterations</i></a>) const</code></p>
</div>
<div data-if="com" style="display:none;"></div>
<div data-if="dotnet" style="display:none;">
<p>
<code>static void <a href="HOperatorSet.html">HOperatorSet</a>.<b>MeanCurvatureFlow</b>(<a href="HObject.html">HObject</a> <a href="#Image"><i>image</i></a>, out <a href="HObject.html">HObject</a> <a href="#ImageMCF"><i>imageMCF</i></a>, <a href="HTuple.html">HTuple</a> <a href="#Sigma"><i>sigma</i></a>, <a href="HTuple.html">HTuple</a> <a href="#Theta"><i>theta</i></a>, <a href="HTuple.html">HTuple</a> <a href="#Iterations"><i>iterations</i></a>)</code></p>
<p>
<code><a href="HImage.html">HImage</a> <a href="HImage.html">HImage</a>.<b>MeanCurvatureFlow</b>(double <a href="#Sigma"><i>sigma</i></a>, double <a href="#Theta"><i>theta</i></a>, int <a href="#Iterations"><i>iterations</i></a>)</code></p>
</div>
<div data-if="python" style="display:none;">
<p>
<code>def <b>mean_curvature_flow</b>(<a href="#Image"><i>image</i></a>: HObject, <a href="#Sigma"><i>sigma</i></a>: float, <a href="#Theta"><i>theta</i></a>: float, <a href="#Iterations"><i>iterations</i></a>: int) -&gt; HObject</code></p>
</div>
<h2 id="sec_description">描述</h2>
<p>该算子 <code><span data-if="hdevelop" style="display:inline">mean_curvature_flow</span><span data-if="c" style="display:none">mean_curvature_flow</span><span data-if="cpp" style="display:none">MeanCurvatureFlow</span><span data-if="com" style="display:none">MeanCurvatureFlow</span><span data-if="dotnet" style="display:none">MeanCurvatureFlow</span><span data-if="python" style="display:none">mean_curvature_flow</span></code> applies the mean curvature
flow or intrinsic heat equatio
<span title="1" class="displaymath"><!-- Created by MetaPost 1.902 on 2023.05.15:2033 --><svg xmlns="http://www.w3.org/2000/svg" xmlns:xlink="http://www.w3.org/1999/xlink" version="1.1" width="15.3018em" height="2.41222em" viewBox="0 0 244.828125 38.595505">
<!-- Original BoundingBox: -122.414062 -19.297760 122.414062 19.297745 -->
  <defs>
    <g transform="scale(0.006974,0.006974)" id="GLYPHcmmi7_116">
      <path style="fill-rule: evenodd;" d="M246.000000 -395.000000L348.000000 -395.000000C367.000000 -395.000000,380.000000 -395.000000,380.000000 -417.000000C380.000000 -431.000000,367.000000 -431.000000,350.000000 -431.000000L255.000000 -431.000000L292.000000 -579.000000C293.000000 -584.000000,295.000000 -589.000000,295.000000 -593.000000C295.000000 -611.000000,281.000000 -625.000000,261.000000 -625.000000C236.000000 -625.000000,221.000000 -608.000000,214.000000 -582.000000C207.000000 -557.000000,220.000000 -605.000000,176.000000 -431.000000L74.000000 -431.000000C55.000000 -431.000000,42.000000 -431.000000,42.000000 -409.000000C42.000000 -395.000000,54.000000 -395.000000,72.000000 -395.000000L167.000000 -395.000000L108.000000 -159.000000C102.000000 -134.000000,93.000000 -98.000000,93.000000 -85.000000C93.000000 -26.000000,143.000000 10.000000,200.000000 10.000000C311.000000 10.000000,374.000000 -130.000000,374.000000 -143.000000C374.000000 -156.000000,361.000000 -156.000000,358.000000 -156.000000C346.000000 -156.000000,345.000000 -154.000000,337.000000 -137.000000C309.000000 -74.000000,258.000000 -18.000000,203.000000 -18.000000C182.000000 -18.000000,168.000000 -31.000000,168.000000 -67.000000C168.000000 -77.000000,172.000000 -98.000000,174.000000 -108.000000"></path>
    </g>
    <g transform="scale(0.009963,0.009963)" id="GLYPHcmr10_40">
      <path style="fill-rule: evenodd;" d="M331.000000 240.000000C331.000000 237.000000,331.000000 235.000000,314.000000 218.000000C189.000000 92.000000,157.000000 -97.000000,157.000000 -250.000000C157.000000 -424.000000,195.000000 -598.000000,318.000000 -723.000000C331.000000 -735.000000,331.000000 -737.000000,331.000000 -740.000000C331.000000 -747.000000,327.000000 -750.000000,321.000000 -750.000000C311.000000 -750.000000,221.000000 -682.000000,162.000000 -555.000000C111.000000 -445.000000,99.000000 -334.000000,99.000000 -250.000000C99.000000 -172.000000,110.000000 -51.000000,165.000000 62.000000C225.000000 185.000000,311.000000 250.000000,321.000000 250.000000C327.000000 250.000000,331.000000 247.000000,331.000000 240.000000"></path>
    </g>
    <g transform="scale(0.009963,0.009963)" id="GLYPHcmr10_41">
      <path style="fill-rule: evenodd;" d="M289.000000 -250.000000C289.000000 -328.000000,278.000000 -449.000000,223.000000 -562.000000C163.000000 -685.000000,77.000000 -750.000000,67.000000 -750.000000C61.000000 -750.000000,57.000000 -746.000000,57.000000 -740.000000C57.000000 -737.000000,57.000000 -735.000000,76.000000 -717.000000C174.000000 -618.000000,231.000000 -459.000000,231.000000 -250.000000C231.000000 -79.000000,194.000000 97.000000,70.000000 223.000000C57.000000 235.000000,57.000000 237.000000,57.000000 240.000000C57.000000 246.000000,61.000000 250.000000,67.000000 250.000000C77.000000 250.000000,167.000000 182.000000,226.000000 55.000000C277.000000 -55.000000,289.000000 -166.000000,289.000000 -250.000000"></path>
    </g>
    <g transform="scale(0.009963,0.009963)" id="GLYPHcmr10_61">
      <path style="fill-rule: evenodd;" d="M687.000000 -327.000000C702.000000 -327.000000,721.000000 -327.000000,721.000000 -347.000000C721.000000 -367.000000,702.000000 -367.000000,688.000000 -367.000000L89.000000 -367.000000C75.000000 -367.000000,56.000000 -367.000000,56.000000 -347.000000C56.000000 -327.000000,75.000000 -327.000000,90.000000 -327.000000M688.000000 -133.000000C702.000000 -133.000000,721.000000 -133.000000,721.000000 -153.000000C721.000000 -173.000000,702.000000 -173.000000,687.000000 -173.000000L90.000000 -173.000000C75.000000 -173.000000,56.000000 -173.000000,56.000000 -153.000000C56.000000 -133.000000,75.000000 -133.000000,89.000000 -133.000000"></path>
    </g>
    <g transform="scale(0.009963,0.009963)" id="GLYPHcmsy10_106">
      <path style="fill-rule: evenodd;" d="M159.000000 -714.000000C159.000000 -732.000000,159.000000 -750.000000,139.000000 -750.000000C119.000000 -750.000000,119.000000 -732.000000,119.000000 -714.000000L119.000000 214.000000C119.000000 232.000000,119.000000 250.000000,139.000000 250.000000C159.000000 250.000000,159.000000 232.000000,159.000000 214.000000"></path>
    </g>
    <g transform="scale(0.009963,0.009963)" id="GLYPHcmsy10_114">
      <path style="fill-rule: evenodd;" d="M780.000000 -661.000000C782.000000 -664.000000,785.000000 -671.000000,785.000000 -675.000000C785.000000 -682.000000,784.000000 -683.000000,761.000000 -683.000000L71.000000 -683.000000C48.000000 -683.000000,47.000000 -682.000000,47.000000 -675.000000C47.000000 -671.000000,50.000000 -664.000000,52.000000 -661.000000L389.000000 14.000000C396.000000 27.000000,399.000000 33.000000,416.000000 33.000000C433.000000 33.000000,436.000000 27.000000,443.000000 14.000000M171.000000 -611.000000L720.000000 -611.000000L446.000000 -61.000000"></path>
    </g>
    <g transform="scale(0.009963,0.009963)" id="GLYPHcmmi10_99">
      <path style="fill-rule: evenodd;" d="M396.000000 -380.000000C380.000000 -380.000000,366.000000 -380.000000,352.000000 -366.000000C336.000000 -351.000000,334.000000 -334.000000,334.000000 -327.000000C334.000000 -303.000000,352.000000 -292.000000,371.000000 -292.000000C400.000000 -292.000000,427.000000 -316.000000,427.000000 -356.000000C427.000000 -405.000000,380.000000 -442.000000,309.000000 -442.000000C174.000000 -442.000000,41.000000 -299.000000,41.000000 -158.000000C41.000000 -68.000000,99.000000 11.000000,203.000000 11.000000C346.000000 11.000000,430.000000 -95.000000,430.000000 -107.000000C430.000000 -113.000000,424.000000 -120.000000,418.000000 -120.000000C413.000000 -120.000000,411.000000 -118.000000,405.000000 -110.000000C326.000000 -11.000000,217.000000 -11.000000,205.000000 -11.000000C142.000000 -11.000000,115.000000 -60.000000,115.000000 -120.000000C115.000000 -161.000000,135.000000 -258.000000,169.000000 -320.000000C200.000000 -377.000000,255.000000 -420.000000,310.000000 -420.000000C344.000000 -420.000000,382.000000 -407.000000,396.000000 -380.000000"></path>
    </g>
    <g transform="scale(0.009963,0.009963)" id="GLYPHcmmi10_100">
      <path style="fill-rule: evenodd;" d="M516.000000 -683.000000C516.000000 -684.000000,516.000000 -694.000000,503.000000 -694.000000C488.000000 -694.000000,393.000000 -685.000000,376.000000 -683.000000C368.000000 -682.000000,362.000000 -677.000000,362.000000 -664.000000C362.000000 -652.000000,371.000000 -652.000000,386.000000 -652.000000C434.000000 -652.000000,436.000000 -645.000000,436.000000 -635.000000L433.000000 -615.000000L373.000000 -378.000000C355.000000 -415.000000,326.000000 -442.000000,281.000000 -442.000000C164.000000 -442.000000,40.000000 -295.000000,40.000000 -149.000000C40.000000 -55.000000,95.000000 11.000000,173.000000 11.000000C193.000000 11.000000,243.000000 7.000000,303.000000 -64.000000C311.000000 -22.000000,346.000000 11.000000,394.000000 11.000000C429.000000 11.000000,452.000000 -12.000000,468.000000 -44.000000C485.000000 -80.000000,498.000000 -141.000000,498.000000 -143.000000C498.000000 -153.000000,489.000000 -153.000000,486.000000 -153.000000C476.000000 -153.000000,475.000000 -149.000000,472.000000 -135.000000C455.000000 -70.000000,437.000000 -11.000000,396.000000 -11.000000C369.000000 -11.000000,366.000000 -37.000000,366.000000 -57.000000C366.000000 -81.000000,368.000000 -88.000000,372.000000 -105.000000M308.000000 -119.000000C303.000000 -101.000000,303.000000 -99.000000,288.000000 -82.000000C244.000000 -27.000000,203.000000 -11.000000,175.000000 -11.000000C125.000000 -11.000000,111.000000 -66.000000,111.000000 -105.000000C111.000000 -155.000000,143.000000 -278.000000,166.000000 -324.000000C197.000000 -383.000000,242.000000 -420.000000,282.000000 -420.000000C347.000000 -420.000000,361.000000 -338.000000,361.000000 -332.000000C361.000000 -326.000000,359.000000 -320.000000,358.000000 -315.000000"></path>
    </g>
    <g transform="scale(0.009963,0.009963)" id="GLYPHcmmi10_105">
      <path style="fill-rule: evenodd;" d="M284.000000 -625.000000C284.000000 -645.000000,270.000000 -661.000000,247.000000 -661.000000C220.000000 -661.000000,193.000000 -635.000000,193.000000 -608.000000C193.000000 -589.000000,207.000000 -572.000000,231.000000 -572.000000C254.000000 -572.000000,284.000000 -595.000000,284.000000 -625.000000M208.000000 -249.000000C220.000000 -278.000000,220.000000 -280.000000,230.000000 -307.000000C238.000000 -327.000000,243.000000 -341.000000,243.000000 -360.000000C243.000000 -405.000000,211.000000 -442.000000,161.000000 -442.000000C67.000000 -442.000000,29.000000 -297.000000,29.000000 -288.000000C29.000000 -278.000000,39.000000 -278.000000,41.000000 -278.000000C51.000000 -278.000000,52.000000 -280.000000,57.000000 -296.000000C84.000000 -390.000000,124.000000 -420.000000,158.000000 -420.000000C166.000000 -420.000000,183.000000 -420.000000,183.000000 -388.000000C183.000000 -367.000000,176.000000 -346.000000,172.000000 -336.000000C164.000000 -310.000000,119.000000 -194.000000,103.000000 -151.000000C93.000000 -125.000000,80.000000 -92.000000,80.000000 -71.000000C80.000000 -24.000000,114.000000 11.000000,162.000000 11.000000C256.000000 11.000000,293.000000 -134.000000,293.000000 -143.000000C293.000000 -153.000000,284.000000 -153.000000,281.000000 -153.000000C271.000000 -153.000000,271.000000 -150.000000,266.000000 -135.000000C248.000000 -72.000000,215.000000 -11.000000,164.000000 -11.000000C147.000000 -11.000000,140.000000 -21.000000,140.000000 -44.000000C140.000000 -69.000000,146.000000 -83.000000,169.000000 -144.000000"></path>
    </g>
    <g transform="scale(0.009963,0.009963)" id="GLYPHcmmi10_114">
      <path style="fill-rule: evenodd;" d="M88.000000 -59.000000C85.000000 -44.000000,79.000000 -21.000000,79.000000 -16.000000C79.000000 2.000000,93.000000 11.000000,108.000000 11.000000C120.000000 11.000000,138.000000 3.000000,145.000000 -17.000000C147.000000 -21.000000,181.000000 -157.000000,185.000000 -175.000000C193.000000 -208.000000,211.000000 -278.000000,217.000000 -305.000000C221.000000 -318.000000,249.000000 -365.000000,273.000000 -387.000000C281.000000 -394.000000,310.000000 -420.000000,353.000000 -420.000000C379.000000 -420.000000,394.000000 -408.000000,395.000000 -408.000000C365.000000 -403.000000,343.000000 -379.000000,343.000000 -353.000000C343.000000 -337.000000,354.000000 -318.000000,381.000000 -318.000000C408.000000 -318.000000,436.000000 -341.000000,436.000000 -377.000000C436.000000 -412.000000,404.000000 -442.000000,353.000000 -442.000000C288.000000 -442.000000,244.000000 -393.000000,225.000000 -365.000000C217.000000 -410.000000,181.000000 -442.000000,134.000000 -442.000000C88.000000 -442.000000,69.000000 -403.000000,60.000000 -385.000000C42.000000 -351.000000,29.000000 -291.000000,29.000000 -288.000000C29.000000 -278.000000,39.000000 -278.000000,41.000000 -278.000000C51.000000 -278.000000,52.000000 -279.000000,58.000000 -301.000000C75.000000 -372.000000,95.000000 -420.000000,131.000000 -420.000000C148.000000 -420.000000,162.000000 -412.000000,162.000000 -374.000000C162.000000 -353.000000,159.000000 -342.000000,146.000000 -290.000000"></path>
    </g>
    <g transform="scale(0.009963,0.009963)" id="GLYPHcmmi10_117">
      <path style="fill-rule: evenodd;" d="M350.000000 -56.000000C361.000000 -15.000000,396.000000 11.000000,439.000000 11.000000C474.000000 11.000000,497.000000 -12.000000,513.000000 -44.000000C530.000000 -80.000000,543.000000 -141.000000,543.000000 -143.000000C543.000000 -153.000000,534.000000 -153.000000,531.000000 -153.000000C521.000000 -153.000000,520.000000 -149.000000,517.000000 -135.000000C503.000000 -79.000000,484.000000 -11.000000,442.000000 -11.000000C421.000000 -11.000000,411.000000 -24.000000,411.000000 -57.000000C411.000000 -79.000000,423.000000 -126.000000,431.000000 -161.000000L459.000000 -269.000000C462.000000 -284.000000,472.000000 -322.000000,476.000000 -337.000000C481.000000 -360.000000,491.000000 -398.000000,491.000000 -404.000000C491.000000 -422.000000,477.000000 -431.000000,462.000000 -431.000000C457.000000 -431.000000,431.000000 -430.000000,423.000000 -396.000000C404.000000 -323.000000,360.000000 -148.000000,348.000000 -95.000000C347.000000 -91.000000,307.000000 -11.000000,234.000000 -11.000000C182.000000 -11.000000,172.000000 -56.000000,172.000000 -93.000000C172.000000 -149.000000,200.000000 -228.000000,226.000000 -297.000000C238.000000 -327.000000,243.000000 -341.000000,243.000000 -360.000000C243.000000 -405.000000,211.000000 -442.000000,161.000000 -442.000000C66.000000 -442.000000,29.000000 -297.000000,29.000000 -288.000000C29.000000 -278.000000,39.000000 -278.000000,41.000000 -278.000000C51.000000 -278.000000,52.000000 -280.000000,57.000000 -296.000000C82.000000 -383.000000,120.000000 -420.000000,158.000000 -420.000000C167.000000 -420.000000,183.000000 -419.000000,183.000000 -387.000000C183.000000 -363.000000,172.000000 -334.000000,166.000000 -319.000000C129.000000 -220.000000,108.000000 -158.000000,108.000000 -109.000000C108.000000 -14.000000,177.000000 11.000000,231.000000 11.000000C297.000000 11.000000,333.000000 -34.000000,350.000000 -56.000000"></path>
    </g>
    <g transform="scale(0.009963,0.009963)" id="GLYPHcmmi10_118">
      <path style="fill-rule: evenodd;" d="M468.000000 -372.000000C468.000000 -426.000000,442.000000 -442.000000,424.000000 -442.000000C399.000000 -442.000000,375.000000 -416.000000,375.000000 -394.000000C375.000000 -381.000000,380.000000 -375.000000,391.000000 -364.000000C412.000000 -344.000000,425.000000 -318.000000,425.000000 -282.000000C425.000000 -240.000000,364.000000 -11.000000,247.000000 -11.000000C196.000000 -11.000000,173.000000 -46.000000,173.000000 -98.000000C173.000000 -154.000000,200.000000 -227.000000,231.000000 -310.000000C238.000000 -327.000000,243.000000 -341.000000,243.000000 -360.000000C243.000000 -405.000000,211.000000 -442.000000,161.000000 -442.000000C67.000000 -442.000000,29.000000 -297.000000,29.000000 -288.000000C29.000000 -278.000000,39.000000 -278.000000,41.000000 -278.000000C51.000000 -278.000000,52.000000 -280.000000,57.000000 -296.000000C86.000000 -397.000000,129.000000 -420.000000,158.000000 -420.000000C166.000000 -420.000000,183.000000 -420.000000,183.000000 -388.000000C183.000000 -363.000000,173.000000 -336.000000,166.000000 -318.000000C122.000000 -202.000000,109.000000 -156.000000,109.000000 -113.000000C109.000000 -5.000000,197.000000 11.000000,243.000000 11.000000C411.000000 11.000000,468.000000 -320.000000,468.000000 -372.000000"></path>
    </g>
  </defs>
  <g transform="matrix(1.600006,-0.000000,-0.000000,1.600006,0.585938 22.378510)" style="fill: rgb(0.000000%,0.000000%,0.000000%);">
    <use xlink:href="#GLYPHcmmi10_117"></use>
  </g>
  <g transform="matrix(1.600006,-0.000000,-0.000000,1.600006,9.711090 24.769562)" style="fill: rgb(0.000000%,0.000000%,0.000000%);">
    <use xlink:href="#GLYPHcmmi7_116"></use>
  </g>
  <g transform="matrix(1.600006,-0.000000,-0.000000,1.600006,19.751129 22.378510)" style="fill: rgb(0.000000%,0.000000%,0.000000%);">
    <use xlink:href="#GLYPHcmr10_61"></use>
  </g>
  <g transform="matrix(1.600006,-0.000000,-0.000000,1.600006,36.576950 22.378510)" style="fill: rgb(0.000000%,0.000000%,0.000000%);">
    <use xlink:href="#GLYPHcmmi10_100"></use>
    <use xlink:href="#GLYPHcmmi10_105" x="5.204950"></use>
    <use xlink:href="#GLYPHcmmi10_118" x="8.650124"></use>
  </g>
  <g transform="matrix(1.600006,-0.000000,-0.000000,1.600006,58.663742 22.378510)" style="fill: rgb(0.000000%,0.000000%,0.000000%);">
    <use xlink:href="#GLYPHcmr10_40"></use>
  </g>
  <g transform="matrix(1.600006,-0.000000,-0.000000,1.600006,71.203491 11.594772)" style="fill: rgb(0.000000%,0.000000%,0.000000%);">
    <use xlink:href="#GLYPHcmsy10_114"></use>
  </g>
  <g transform="matrix(1.600006,-0.000000,-0.000000,1.600006,84.487061 11.594772)" style="fill: rgb(0.000000%,0.000000%,0.000000%);">
    <use xlink:href="#GLYPHcmmi10_117"></use>
  </g>
  <path d="M66.775620 18.393356L98.040070 18.393356" style="stroke:rgb(0.000000%,0.000000%,0.000000%); stroke-width: 0.637604;stroke-linejoin: round;stroke-miterlimit: 10.000000;fill: none;"></path>
  <g transform="matrix(1.600006,-0.000000,-0.000000,1.600006,66.775620 33.312775)" style="fill: rgb(0.000000%,0.000000%,0.000000%);">
    <use xlink:href="#GLYPHcmsy10_106"></use>
    <use xlink:href="#GLYPHcmsy10_114" x="2.777830"></use>
  </g>
  <g transform="matrix(1.600006,-0.000000,-0.000000,1.600006,84.487061 33.312775)" style="fill: rgb(0.000000%,0.000000%,0.000000%);">
    <use xlink:href="#GLYPHcmmi10_117"></use>
  </g>
  <g transform="matrix(1.600006,-0.000000,-0.000000,1.600006,93.612213 33.312775)" style="fill: rgb(0.000000%,0.000000%,0.000000%);">
    <use xlink:href="#GLYPHcmsy10_106"></use>
  </g>
  <g transform="matrix(1.600006,-0.000000,-0.000000,1.600006,99.953033 22.378510)" style="fill: rgb(0.000000%,0.000000%,0.000000%);">
    <use xlink:href="#GLYPHcmr10_41"></use>
  </g>
  <g transform="matrix(1.600006,-0.000000,-0.000000,1.600006,106.151947 22.378510)" style="fill: rgb(0.000000%,0.000000%,0.000000%);">
    <use xlink:href="#GLYPHcmsy10_106"></use>
    <use xlink:href="#GLYPHcmsy10_114" x="2.777830"></use>
  </g>
  <g transform="matrix(1.600006,-0.000000,-0.000000,1.600006,123.863525 22.378510)" style="fill: rgb(0.000000%,0.000000%,0.000000%);">
    <use xlink:href="#GLYPHcmmi10_117"></use>
  </g>
  <g transform="matrix(1.600006,-0.000000,-0.000000,1.600006,132.988693 22.378510)" style="fill: rgb(0.000000%,0.000000%,0.000000%);">
    <use xlink:href="#GLYPHcmsy10_106"></use>
  </g>
  <g transform="matrix(1.600006,-0.000000,-0.000000,1.600006,141.844238 22.378510)" style="fill: rgb(0.000000%,0.000000%,0.000000%);">
    <use xlink:href="#GLYPHcmr10_61"></use>
  </g>
  <g transform="matrix(1.600006,-0.000000,-0.000000,1.600006,158.670059 22.378510)" style="fill: rgb(0.000000%,0.000000%,0.000000%);">
    <use xlink:href="#GLYPHcmmi10_99"></use>
    <use xlink:href="#GLYPHcmmi10_117" x="4.327635"></use>
    <use xlink:href="#GLYPHcmmi10_114" x="10.052311"></use>
  </g>
  <g transform="matrix(1.600006,-0.000000,-0.000000,1.600006,182.327744 22.378510)" style="fill: rgb(0.000000%,0.000000%,0.000000%);">
    <use xlink:href="#GLYPHcmmi10_118"></use>
  </g>
  <g transform="matrix(1.600006,-0.000000,-0.000000,1.600006,190.626343 22.378510)" style="fill: rgb(0.000000%,0.000000%,0.000000%);">
    <use xlink:href="#GLYPHcmr10_40"></use>
  </g>
  <g transform="matrix(1.600006,-0.000000,-0.000000,1.600006,196.825409 22.378510)" style="fill: rgb(0.000000%,0.000000%,0.000000%);">
    <use xlink:href="#GLYPHcmmi10_117"></use>
  </g>
  <g transform="matrix(1.600006,-0.000000,-0.000000,1.600006,205.950562 22.378510)" style="fill: rgb(0.000000%,0.000000%,0.000000%);">
    <use xlink:href="#GLYPHcmr10_41"></use>
  </g>
  <g transform="matrix(1.600006,-0.000000,-0.000000,1.600006,212.149460 22.378510)" style="fill: rgb(0.000000%,0.000000%,0.000000%);">
    <use xlink:href="#GLYPHcmsy10_106"></use>
    <use xlink:href="#GLYPHcmsy10_114" x="2.777830"></use>
  </g>
  <g transform="matrix(1.600006,-0.000000,-0.000000,1.600006,229.861053 22.378510)" style="fill: rgb(0.000000%,0.000000%,0.000000%);">
    <use xlink:href="#GLYPHcmmi10_117"></use>
  </g>
  <g transform="matrix(1.600006,-0.000000,-0.000000,1.600006,238.986206 22.378510)" style="fill: rgb(0.000000%,0.000000%,0.000000%);">
    <use xlink:href="#GLYPHcmsy10_106"></use>
  </g>
</svg></span>
to the gray value function u defined by the input image
<a href="#Image"><i><code><span data-if="hdevelop" style="display:inline">Image</span><span data-if="c" style="display:none">Image</span><span data-if="cpp" style="display:none">Image</span><span data-if="com" style="display:none">Image</span><span data-if="dotnet" style="display:none">image</span><span data-if="python" style="display:none">image</span></code></i></a> at a time <span title="2" style="vertical-align:-0.232682em" class="math"><!-- Created by MetaPost 1.902 on 2023.05.15:2033 --><svg xmlns="http://www.w3.org/2000/svg" xmlns:xlink="http://www.w3.org/1999/xlink" version="1.1" width="2.75918em" height="0.916483em" viewBox="0 0 44.146896 14.663727">
<!-- Original BoundingBox: -22.073456 -7.331863 22.073441 7.331863 -->
  <defs>
    <g transform="scale(0.009963,0.009963)" id="GLYPHcmr10_48">
      <path style="fill-rule: evenodd;" d="M460.000000 -320.000000C460.000000 -400.000000,455.000000 -480.000000,420.000000 -554.000000C374.000000 -650.000000,292.000000 -666.000000,250.000000 -666.000000C190.000000 -666.000000,117.000000 -640.000000,76.000000 -547.000000C44.000000 -478.000000,39.000000 -400.000000,39.000000 -320.000000C39.000000 -245.000000,43.000000 -155.000000,84.000000 -79.000000C127.000000 2.000000,200.000000 22.000000,249.000000 22.000000C303.000000 22.000000,379.000000 1.000000,423.000000 -94.000000C455.000000 -163.000000,460.000000 -241.000000,460.000000 -320.000000M249.000000 -0.000000C210.000000 -0.000000,151.000000 -25.000000,133.000000 -121.000000C122.000000 -181.000000,122.000000 -273.000000,122.000000 -332.000000C122.000000 -396.000000,122.000000 -462.000000,130.000000 -516.000000C149.000000 -635.000000,224.000000 -644.000000,249.000000 -644.000000C282.000000 -644.000000,348.000000 -626.000000,367.000000 -527.000000C377.000000 -471.000000,377.000000 -395.000000,377.000000 -332.000000C377.000000 -257.000000,377.000000 -189.000000,366.000000 -125.000000C351.000000 -30.000000,294.000000 -0.000000,249.000000 -0.000000"></path>
    </g>
    <g transform="scale(0.009963,0.009963)" id="GLYPHcmr10_61">
      <path style="fill-rule: evenodd;" d="M687.000000 -327.000000C702.000000 -327.000000,721.000000 -327.000000,721.000000 -347.000000C721.000000 -367.000000,702.000000 -367.000000,688.000000 -367.000000L89.000000 -367.000000C75.000000 -367.000000,56.000000 -367.000000,56.000000 -347.000000C56.000000 -327.000000,75.000000 -327.000000,90.000000 -327.000000M688.000000 -133.000000C702.000000 -133.000000,721.000000 -133.000000,721.000000 -153.000000C721.000000 -173.000000,702.000000 -173.000000,687.000000 -173.000000L90.000000 -173.000000C75.000000 -173.000000,56.000000 -173.000000,56.000000 -153.000000C56.000000 -133.000000,75.000000 -133.000000,89.000000 -133.000000"></path>
    </g>
    <g transform="scale(0.009963,0.009963)" id="GLYPHcmmi10_116">
      <path style="fill-rule: evenodd;" d="M206.000000 -400.000000L300.000000 -400.000000C320.000000 -400.000000,330.000000 -400.000000,330.000000 -420.000000C330.000000 -431.000000,320.000000 -431.000000,302.000000 -431.000000L214.000000 -431.000000C250.000000 -573.000000,255.000000 -593.000000,255.000000 -599.000000C255.000000 -616.000000,243.000000 -626.000000,226.000000 -626.000000C223.000000 -626.000000,195.000000 -625.000000,186.000000 -590.000000L147.000000 -431.000000L53.000000 -431.000000C33.000000 -431.000000,23.000000 -431.000000,23.000000 -412.000000C23.000000 -400.000000,31.000000 -400.000000,51.000000 -400.000000L139.000000 -400.000000C67.000000 -116.000000,63.000000 -99.000000,63.000000 -81.000000C63.000000 -27.000000,101.000000 11.000000,155.000000 11.000000C257.000000 11.000000,314.000000 -135.000000,314.000000 -143.000000C314.000000 -153.000000,306.000000 -153.000000,302.000000 -153.000000C293.000000 -153.000000,292.000000 -150.000000,287.000000 -139.000000C244.000000 -35.000000,191.000000 -11.000000,157.000000 -11.000000C136.000000 -11.000000,126.000000 -24.000000,126.000000 -57.000000C126.000000 -81.000000,128.000000 -88.000000,132.000000 -105.000000"></path>
    </g>
    <g transform="scale(0.006974,0.006974)" id="GLYPHcmr7_48">
      <path style="fill-rule: evenodd;" d="M516.000000 -319.000000C516.000000 -429.000000,503.000000 -508.000000,457.000000 -578.000000C426.000000 -624.000000,364.000000 -664.000000,284.000000 -664.000000C52.000000 -664.000000,52.000000 -391.000000,52.000000 -319.000000C52.000000 -247.000000,52.000000 20.000000,284.000000 20.000000C516.000000 20.000000,516.000000 -247.000000,516.000000 -319.000000M284.000000 -8.000000C238.000000 -8.000000,177.000000 -35.000000,157.000000 -117.000000C143.000000 -176.000000,143.000000 -258.000000,143.000000 -332.000000C143.000000 -405.000000,143.000000 -481.000000,158.000000 -536.000000C179.000000 -615.000000,243.000000 -636.000000,284.000000 -636.000000C338.000000 -636.000000,390.000000 -603.000000,408.000000 -545.000000C424.000000 -491.000000,425.000000 -419.000000,425.000000 -332.000000C425.000000 -258.000000,425.000000 -184.000000,412.000000 -121.000000C392.000000 -30.000000,324.000000 -8.000000,284.000000 -8.000000"></path>
    </g>
  </defs>
  <g transform="matrix(1.600006,-0.000000,-0.000000,1.600006,0.942535 10.940811)" style="fill: rgb(0.000000%,0.000000%,0.000000%);">
    <use xlink:href="#GLYPHcmmi10_116"></use>
  </g>
  <g transform="matrix(1.600006,-0.000000,-0.000000,1.600006,6.698730 13.331863)" style="fill: rgb(0.000000%,0.000000%,0.000000%);">
    <use xlink:href="#GLYPHcmr7_48"></use>
  </g>
  <g transform="matrix(1.600006,-0.000000,-0.000000,1.600006,18.277496 10.940811)" style="fill: rgb(0.000000%,0.000000%,0.000000%);">
    <use xlink:href="#GLYPHcmr10_61"></use>
  </g>
  <g transform="matrix(1.600006,-0.000000,-0.000000,1.600006,35.103317 10.940811)" style="fill: rgb(0.000000%,0.000000%,0.000000%);">
    <use xlink:href="#GLYPHcmr10_48"></use>
  </g>
</svg></span>. The discretized
equation is solved in <a href="#Iterations"><i><code><span data-if="hdevelop" style="display:inline">Iterations</span><span data-if="c" style="display:none">Iterations</span><span data-if="cpp" style="display:none">Iterations</span><span data-if="com" style="display:none">Iterations</span><span data-if="dotnet" style="display:none">iterations</span><span data-if="python" style="display:none">iterations</span></code></i></a> time steps of length
<a href="#Theta"><i><code><span data-if="hdevelop" style="display:inline">Theta</span><span data-if="c" style="display:none">Theta</span><span data-if="cpp" style="display:none">Theta</span><span data-if="com" style="display:none">Theta</span><span data-if="dotnet" style="display:none">theta</span><span data-if="python" style="display:none">theta</span></code></i></a>, so that the output image contains the gray value
function at the time <a href="#Iterations"><i><code><span data-if="hdevelop" style="display:inline">Iterations</span><span data-if="c" style="display:none">Iterations</span><span data-if="cpp" style="display:none">Iterations</span><span data-if="com" style="display:none">Iterations</span><span data-if="dotnet" style="display:none">iterations</span><span data-if="python" style="display:none">iterations</span></code></i></a> * <a href="#Theta"><i><code><span data-if="hdevelop" style="display:inline">Theta</span><span data-if="c" style="display:none">Theta</span><span data-if="cpp" style="display:none">Theta</span><span data-if="com" style="display:none">Theta</span><span data-if="dotnet" style="display:none">theta</span><span data-if="python" style="display:none">theta</span></code></i></a>
.
</p>
<p>The mean curvature flow causes a smoothing of <a href="#Image"><i><code><span data-if="hdevelop" style="display:inline">Image</span><span data-if="c" style="display:none">Image</span><span data-if="cpp" style="display:none">Image</span><span data-if="com" style="display:none">Image</span><span data-if="dotnet" style="display:none">image</span><span data-if="python" style="display:none">image</span></code></i></a> in the
direction of the edges in the image, i.e. along the contour lines of
u, while perpendicular to the edge direction no smoothing is
performed and hence the boundaries of image objects are not
smoothed. To detect the image direction more robustly, in particular
on noisy input data, an additional isotropic smoothing step can
precede the computation of the gray value gradients. The parameter
<a href="#Sigma"><i><code><span data-if="hdevelop" style="display:inline">Sigma</span><span data-if="c" style="display:none">Sigma</span><span data-if="cpp" style="display:none">Sigma</span><span data-if="com" style="display:none">Sigma</span><span data-if="dotnet" style="display:none">sigma</span><span data-if="python" style="display:none">sigma</span></code></i></a> determines the magnitude of the smoothing by means of
the standard deviation of a corresponding Gaussian convolution
kernel, as used in 该算子 <a href="isotropic_diffusion.html"><code><span data-if="hdevelop" style="display:inline">isotropic_diffusion</span><span data-if="c" style="display:none">isotropic_diffusion</span><span data-if="cpp" style="display:none">IsotropicDiffusion</span><span data-if="com" style="display:none">IsotropicDiffusion</span><span data-if="dotnet" style="display:none">IsotropicDiffusion</span><span data-if="python" style="display:none">isotropic_diffusion</span></code></a> for
isotropic image smoothing.
</p>
<p>The following images show the effect of the parameters
<a href="#Sigma"><i><code><span data-if="hdevelop" style="display:inline">Sigma</span><span data-if="c" style="display:none">Sigma</span><span data-if="cpp" style="display:none">Sigma</span><span data-if="com" style="display:none">Sigma</span><span data-if="dotnet" style="display:none">sigma</span><span data-if="python" style="display:none">sigma</span></code></i></a>, <a href="#Theta"><i><code><span data-if="hdevelop" style="display:inline">Theta</span><span data-if="c" style="display:none">Theta</span><span data-if="cpp" style="display:none">Theta</span><span data-if="com" style="display:none">Theta</span><span data-if="dotnet" style="display:none">theta</span><span data-if="python" style="display:none">theta</span></code></i></a>, and <a href="#Iterations"><i><code><span data-if="hdevelop" style="display:inline">Iterations</span><span data-if="c" style="display:none">Iterations</span><span data-if="cpp" style="display:none">Iterations</span><span data-if="com" style="display:none">Iterations</span><span data-if="dotnet" style="display:none">iterations</span><span data-if="python" style="display:none">iterations</span></code></i></a>. First, the
input image is shown together with the result that is achieved if
all parameters are set to their default values.
</p>
<div style="text-align:center;" class="figure">
<table style="margin-left:auto;margin-right:auto">
<tr>
<td><svg xmlns:xlink="http://www.w3.org/1999/xlink" xmlns="http://www.w3.org/2000/svg" width="505" height="355">
<g style="stroke-width:.025in; fill:yellow">
<image xlink:href=" AAAuIwAALiMBeKU/dgAAAAd0SU1FB98EHQoXGGM3tM4AACAASURBVHic7Z3bciXJdZ4/AAVsHBs9 3ZyeGQ5JUZQohWwppGtf+Vn8uL5x2OEzJSpki9OcQ3ejG6eNjQ3AF1yxvqyFar9A5n+xo2pnVlZW LezAH/867fwHgB2A3TwSuwCPefSQU54A9gBuAW4A7nPeUy6wM79sD2AFMOXA/fxu5OhjTgFgPz8m gE3eaLvwCO75Ma/Yz6XW8yd6zMt8/Mfc7kF+HOZ29+Yvwvs+zJ9tL6c8zSdv58/7NN/Bw/y0vE5P fTneyCd38iZ3VQw60CGG5XvFsHyvGJbvFdP30PISCVphCvIh8rvH/CCP5GaFAAFBbG4hKEnhYS7l FYVyMr+HkJG55yWORJ76CEu791Gn+TYeIMjiTj5RIVRu/HF+N1mfS+3mh+/qYX7qAu60XPH4ucsK By5Ec6BDDMv3imH5XjEs3yt2fuNhfjA/KpTpaT5Q+IZYohouWkSnsp6TFQv386iwvgNohUEJadmL G1oalZEVEbBsvFxRNLwiB5YXVhitA7I+oRLoKp7KaJeYpVxvA6FZPgDc5bzxm+8Vw/K9Yli+VwzL 94rJ//tbaBkKEH8YEwSDUrqScz3mETmwhVahkpwwX29nPiAvKfLTA8AJwHFe9pij5A7U8Pbm80Qh XkXYmuYDapssXLHEXpcY3iYnLzHGvfwom3Seu1JjLJTOKVJi39Bxnu7OPwY6xLB8rxiW7xXD8r1i +hbgGuAjhAf1IT/kDPcQPGICOILgXFMeSfPu4Znb8y6PyAXU3A7ysvv5ZZcAV7n8Xo4uuRqLplUY j3AbRbOUvbp7mSrz0yWnKHmqZxQImncPIajJ+o7h2fsrJFBPsKRtC0GTlzRBOXXRQItneaBDDMv3 imH5XjEs3yumSwh+IOcCWoegjGKTHzcQxOsU4ALaLIg7eBZvJtW4z5UP4FmGxzbnPeVSsj4j2fyb LSqYN3L3T/NrmS8gR3IHhfAx3+RnXbB6Rh8h2JyvzlyUkr1SXNOOenPVwdtczylyTOnbNJ/nhu7m jz/QF4ble8WwfK8Ylu8Vk5LUAQRLU7QrjkhZ3+18maIeybm2C9/dzycXj2zhZuR3Jb+iMBnj0sqG JIt781M/iqRXPLzF27yUHWJO8AZap7fJuF8CvAL4DcD3AP9rvtMSWieKR/Ysl9da3k0X7HZhAaDN qRnoEMPyvWJYvlcMy/eKSWpQ0kqVlXREloCwIjpt5pOLeEYeyR3JKeQVxZlolNlBTn6cD5CnJbe0 +GaXipMsobhlfVRjAouseT+/7BjgDcDfAfwagtztQ9Rc+e8QNO9ivqHyCFLOUhnls0kg5NaYP4dY ykUZ6AbD8r1iWL5XDMv3iuljHpZc2kI6il/S73T5OeB6zL/ztISu+d3Nwn3P5t+xsICZEY8QEWpq kYUdesVSnqsbMp6wOKklnyuAbwC+BfgLCIb3LcCf5RWr+dYeAP4LBMMrXtry4Q5KXT/d31LsUvnm Yf7dHgTHHL/5XjEs3yuG5XvFsHyvmA5hmRAArQpWHKVFZCv8z4g353mZKRO3OSBrKcXz9iBi/b6F 4JMur7h3PL/2IFf+LndV/KuuIr8ys7g4Xq2C9wJaSve3ECqdEuYhwBcQYW+PELkUp7noh1xKvbMU 3isZzbt5xZs8vctd+Vj3+TYe80YGBj7MrxjoEMPyvWJYvlcMy/eK6QCeNYQotY/1Cj4sfFcSG0qd jl0IRlFoowLY/XyA+Q5khyWMriQinOTRFtpQuOLXJb9TpSsRdMp8hxBs6VcAfw/wVwBfQzA8H/8B IvX3DQS1ugL4WU75kIu+gVD4/gdEHvNDvpLCRf153kJkPhdSLov0nT7kY/nQl7mD8ZvvFcPyvWJY vlcMy/eKSR2u8CvdnhKl+zySVhQHoxFgpfXWdmGyq3jFPrR6mB830KbW7ufRaS5vzq0hcxJIk3HX EERJdWsXgiO9gZDl/gHgHOA1BHk6yiNlyD0IV/JN3qPInwd533Uu8EsIWU6Gt51fqy5qyRkfZpvr HULwyYfcFfn4n217MdAhhuV7xbB8rxiW7xXTLTxTt0oUf4mvA55RsHVOLpVHCiyAIsOTBO5CkJPi +p0gGFkRGoFW19uHIFnWfyk64QMEodoAvITQ0t5ACHRfQfA1Xdiyr10IUvk+P+4hdL2n/O4pv1sB /FPu4FU+wuu829tcvoh2Pq/01+fQAJe505L0vM2HkcvfzO8x0BeG5XvFsHyvGJbvFZN63VKzhqWu EEs5EqVMiSyjpOCq8BUOp8+1JHKUfIOlphPqde7Pdhs+kUrlHoRe9+8A/j3AL/K7y7zsKFe2q4Yk 9SQXfZuXvcnvSnjcCYRe9xUEXX2Vp0uddpe6b8g2yXvoA1cs1OXsGzqE4HrWyBvoEMPyvWJYvlcM y/eKqXSFBVoKUYhcEZiYj5YicSV19XF+WuocL7l+TTCwjcYEbclkad5uDuxC0Jmlgi+W/pMUnc83 Kf/bQuh1N3nzohhe57y9PHX3R3l6mKu8zdEVhMx3BvBu/jC+lwKffD/3J67zsoP5i1jnDmyFMdAh huV7xbB8rxiW7xV/yqUt1ApoVTVDvoBnRdiWCuAV+lbaxT7Or7UycnHzKhYqRHkZOU8qWRIMSqdY LzuAiFp7N1/5Ap6lW7yAYEb7eS0An/LoFznvLLexgaBbawiud5ffqUWe57U/zO9bKi37UaiuHYNV G83NLTF3u/OPgQ4xLN8rhuV7xbB8r5h0RJpGAbReweIpLO5HyxQX+Y6cVzpxld4NO9CmfArva07r LQRlcqlbaPumFdGu1EMpj/A9wO8A/gZCudtA8L8zCApm2JsqnWrZVxDES1coEJ7bH/M7l/8J2t6y J7lTyXZJ1QBaFVGTXUHbJ+4g1yPvts3nOJ+/nIEOMSzfK4ble8WwfK+YSnuvJaet0lrJN1Dhc54S F/As+o481c8p8SrtwoSnRznlENqSxJIiy+2VOLzSm+MAIufiR4A/z/XMzTiAkO8ucgerfIRHCHL3 Kud9hCiP8j5XvoFgWlay+zkERVxBiIC/y3k+UUk53uQ9fGEG2ZmQIgl8yntImEtTkYG+MCzfK4bl e8WwfK+YPsByjH9xlJJHxQ+7lGlbRlk4WuqWsQQVvh8hhLwSDyfhk8nIh3y2QmEnaCPjgKBqhvQZ RvcKIuJtA6HNmWlxAW0JlrucZyk80zfOIDy8J/nxbwD+K8D/hWfBeEu+7YNc6jGf4wrgDxBU8ny+ SbW+wfC6xrB8rxiW7xXD8r1isp+XsMzG/vy7kucKtIU5lqoRG0a31KusBN4tyXdP0FI6VT/9uoc5 oL7m1mSqpRXGCtpgvHe5ylcQLSlOIbjZQV7xUy76FQSvu5wvf5ULnOXdXubAGoJpqXf+HKJRxh9y KSCYm3GMB3l6nPOmPNV7fQ1B5IzIUzodXtquMSzfK4ble8WwfK+YrN1bipOURlpypM+2ri19Lsgr gGeaoExLR27RqtxG4SrlvoYDSl0sDSzRXCrGcgjBh36EaF0hZbrIj30IEngI0ZziCUKlO57vfp1P /n1u7cv5s72GcORanO4X0La4uMpRy60AoSf6XnzZE0QZZd3p8t2z3NqoltI1huV7xbB8rxiW7xWT pre4WpG9SoHhUrDEyiPMry2psMwXJRcoJXot+aZyZ++GWwiSZd23CUJuO5kvtQdtxut6PiDDWwP8 MY/c0CqnuA256AVE74tTCFJ5mU8p4TvNVW5zAfJU8vkiH6ukNfv4pYdvCXo078R0C6XO4jofv/le MSzfK4ble8WwfK+YiiIHPNPhHucfCkfqZiVyz7Idkh1dpmayliJ7RpQVua1MKbWUyV3p6z2FVodb 59ElRITaF7nUBCHQGS13kUtNEAKYaQrmzW5y+fLW5MAbCKJ5nJv01O1+A6EJ/gjB0iSV+omNwyNv Xt64tVkks0YlKrYOdIhh+V4xLN8rhuV7xVSqzJUKdUsxbSX71oZgJeeiqGWlu20pmaen1aazqnSy FkmRnEatz1V01UpI7yEkLlU/N/4B2oQFy56c5LWXeSMVuR9zlfOccpq7t9bLKbStcIFgkZarOYBg eKv5d+QrOczHf8pFd3Iv5PI/zd9LSYQ+yu8GOsSwfK8Ylu8Vw/K9YrKoG3lUdL2l74zNY35UwuiW MihKizPhFEUxIEjWlB+2KdtAsL6XOVraT5TaJ+SpjcjsRvEW4De5gKKYcqDy4lEeXQH8MwQPO8+t XUN4X6+g9eEeQGS86vR+CRG597+hZWmm9K7y9C5vrnpZyh6709s8vc1Vxm++VwzL94ph+V4xLN8r JmUgM17Jo5IPW7IbrDxXPJTMryil9VxUndDGrCUGTZekvcVsgCHXu4aQuLYQBEgH6C4Eu/kyN27q go+ga9XwvffQVktZQ/C1n+XAIYTX18ooxuupvilIvobgosbmnQB8m6Pvci/F9av3tciuDzlqqJ4Z LXpzyW0MdIhh+V4xLN8rhuV7xaSgZoiW+tUSmzOo6///Z+NkEy9KKV9TdUuv1Yf5PBN+nxaukOvd QJuroFf1TX5nQT139Roif/WfAf4twN9BcK4LaEshn0Pwyeu8eckn0b+qg/YBggQqG0oWb/Lmen3L u9qdH5ngYsbIQe7U12SPNMXM0bWsawzL94ph+V4xLN8rJqmajGI7PwVa9iXr+2w54yIr7ecCXitt VM0rLc7KFeqEUjqgLTC8mu/5OO9xCq18dzWfp5/zJ4is2t/moh8hKpk85LWm4L7PeZcQkt4TtESO 3O5VTt6BNrljH8JL+xrg9/lxnx9TXnuXzyZKyKEs1/dXsnTHb75XDMv3imH5XjEs3yumq/l56S1R guc2C/MeF47K6N78O5nb7fy7kpHrAnoZzcNVsCp5BObXHuWp8t0qv7vKHexAMLI7CIb3A0QplPcQ ZMyYRUUxiyy/glbbXOXy9xAu3dNcyi5oioov8rLfAvwniLA8q5tsAb7L5z2CZ7kUhuqZmlwsM3Jp u8awfK8Ylu8Vw/K9YjJtcyl5wgA9vyuZFkul8Jbi9UoXjNJcwVTY+zx1oMhP7mAFQa3M/53m8yxx 58BZ3sjU2m2efp/r7UMUMdFJ/RGCCU4QKbgHEARN9+1FDpgTYn7tUX7YCu0Kwkt7AiHp/ZALqIY+ QPDE07yvlQCv8mGKb9u841HxuGsMy/eKYfleMSzfK6ZS4qRUIy5l1sqoVxQJjvnpUuta5+1Cqw56 rXztGFofpEXxzA89g2A8+xA8TOXOHARPLTBnmed7CFftO4iYO/3TpxDEqwiNJtma4iCzPM9NfshR XbVAKG03OeUEwl9rSKTvRUJ6kadf5M3115LzdJhvct74zfeKYfleMSzfK4ble8Ukc1vKeC2u1aUQ /aLhFSWwOBj9znIm5KhCngkfcqmTXN4KwI8QPOcJItJO8uQUINicxLXEHU4Q3OcDRMGSVxBK2xqC gn2Tpx9ypwc5egfwdW7jLEeNuZOMbXLjn6AN6Zsg2t6uoPUOG+C4yruZT6xgqqe6SLHWXBm/+V4x LN8rhuV7xbB8r5gO4VlxjXJkM4RVflc0PBYGnuYfe/MpB3m01OzWZFebdancKY8dQlsF+TpPT3MV qwybT1K6ZZCTzyCY2z9CxOH9OkfPIYimNGqb99jmjX7KDe1A8M43EA7VOwjaeAlBDL+GKJRiJOA3 EHSwVF8pnXbFTj4CuZeL+VPu5D3Gb75XDMv3imH5XjEs3yumEhRXAtZKnQ5DuZ4+96HM5ypWmTvM eToORcnItQvGQ65Crnw6v+URBLsptfn825ZU6hO2ZvBBrvIB2hZnqmqm/t5BcLMTCA5nswtTcI2W 2+RzbHOps1xqM9/VKcBfA/xniDrMPqoqpy/nOkcPc8pVLm/qh5Lj+M33imH5XjEs3yuG5XvFdJmH JYNiqRSKWNLDHCgZuY5efW6g+H9L8TcDx4y+c7LNLkrd34M8uoEgcicQLMiuEPo5d+ej3vwdtF1h 7yGyIE4gumBIEbfQqoh3ELqjDmQFv/s80o16BKHh/SXAf4Nw5N7n/pTlmL+c67zbOq+wWHTpZDbQ IYble8WwfK8Ylu8VU+l0qr5W0mgL/IspmRYSpSLkLeVhyNeOoe2X6mTpjG1q7yFIm10rrA+nO5M8 sqaJgt8697fKBQ4gONIttBF+pxCSnhLmS2jzhGWWskhyu+v5A97mY53mqeGAJgG/zCm6W0uaxxpC MTTu8C4/PlvqcPzme8WwfK8Ylu8Vw/K9YiqpoVI1u3gVgqZcVBqblWuNGStJFk62P6xJooe5gIxn C8GvShasJU4+5nfG5l3myhadO8r7kt+ZWbIH4TzdQqh0dwA/zyuOIejlYa73cb7UJkf1yLqD4xz4 kHt+lTf6Ia8glz/N023u3uLOtmCzLa/udGXIg1zgNgcGOsSwfK8Ylu8Vw/K9YloqhQc8q4JXZKCd hctkgl6rA7R0Z7WSsYoceaQEZ70+6cxhTtEBuoYgSuXmL3JXanilvp6nn6CloW8heNgbCGenlZal b5d57c9yLx/nd9NxfZkD1s17kxs3LXcPomTK1xCpH6U7sLx4Pz9K1KQJKWaHGLQ30CGG5XvFsHyv GJbvFVMJstNJuIG2fomjYilAz4xXOZzlgk2eUCIkT81ulTxt56cbCIYCtBRHd6uKl47SH6HNw7AY i3zI/hqKlN9BJDu8zMv0qt5DW/v4OKfsQlvd7iFPv8ojOZwNa3XG+mxWZJakllKC+onlk17xITe5 zimjWkrXGJbvFcPyvWJYvldMRssV+ib9kOaVU/JIRiHVUL4zG1VFrtlCXmYTLieTS1mcrpR3Mw5P Eesu5+kiNgdVFqnb092TN7cNrKWV13lzm4S5stGBhhce5rVXEETzNbRJEYb+7QL8AaIv7f+EkO8u 8gG9udvVna7i6uv0OYCRS9s5huV7xbB8rxiW7xXTizz0j8DuDJbUNeOhiEmOHs5HdRJaBsRgN6Ct I7cHEUxWpjzkygbZSVjszvUIwZHkcEc5+Tz3IhWSIxm1Jq09geBrJrGe530/5v72c8CgQgs026vM /hr25rB43luIELwfAP5PHplfIQvX3eorPs0byUANa7SThfcdv/leMSzfK4ble8WwfK+YfgVBOgxx ky7cQfAwXZx3EGqUjtwjeCa8bSA41y20DlW5z3c5eQ8iGs02EEUys7dYaRchdXEbpdPGOk8fcp4i oEVMij/5EIKC/SO0DcuO8x1c5y2PcspNDryFYGlnee1PEALdPwH8K4Qv1RwJGa1PZE6wuS3HEKF/ 0tW9vLkqItA6n/XXDnSIYfleMSzfK4ble8WfcmmN8Td11VB+ic09tCLbaX5Y3kNxTypkyZQzCIZ3 kbcsvsVbaJMxDGyzVp116fbmHzqBS8KHpeG8zBC8A4iMDLNRDRG8g6Bg8sSTfPL7/LDEsULeDsDv IPIrfg/wL3mqlGg+xFl+SLuNT7TE8QoiBeM4t3Y13xrQhhfuzR9h/OZ7xbB8rxiW7xXD8r1isqmX CpCF6Ep6p0XdShiYuQ9Kf0DLUO6hdaNaLcUoOPMNyMlPuag1UkrigNGBwoxXo9vkrFaKs1fZbr4I vzNR9jsIbvZnufwFtJnFP0G4Vr/Ppd5DK+S5Z2VSy/wpolpaT6IpwzuGaHFmKon0TQ63zVM97oU1 D3SIYfleMSzfK4ble8Wko1RSpEhk2qva3G1OsdQIeS3wrKWWrAUIqrEPbTjbA4RYeA5BmVb5YZ0T yV1pK1tqpBgAp4DornzUsoBxfUc5z6TYOwi+9jHvoUf2Owhy90MOuOd9CM1tNd+VaQ/217CqniF4 Rjl+mVe4cTm63Ftyt5+nrjJ+871iWL5XDMv3imH5XjGtoRW2gDb/UuIAtP0SgLbiiRkKxvjLoIoQ JQUr2bf70Pb9Ite7ywE7ihXF6zYH3NVN7sUEXaGUuIXWYyxlMjLuE4S79QmC8On1vc7Jh/Mb6YKV MZ7ld76hTX63D20n2z0I5vsiJ5N7Jh9Ble4qFzjJUX3v2nL85nvFsHyvGJbvFcPyvWL6JTwjd6pM Zq0aCqdadpyjEjnTLfR42pzCqsXbvPYSWiewlynVWQpPAXEFIfitc+OmR+gsVs3TaQuEDifJWuc2 3IGJIX8E+I85Kq09nd/SnBCTNsi9eLdSBdnJTzm5yIsWbbG/rjVhNhBBgPa5tdmFJHCp7dlAXxiW 7xXD8r1iWL5XTCtoQ/AO8khVzQyAFQSFuIbQpW4hmJG9ZY0PK7m0jt5DhK4ZYOaHUXA6O/fmq5Db KE3MbI/hIxiCZ1qGspeuZJs/PM6vsAfZKqd8yimvc/Sn3ME2Bzb5cixJTA7IDi1xLB1UBDyA4GvX +d19DuxCVAxc5bz7HDDksLTHHegQw/K9Yli+VwzL94pJAlQitsxuNeLtAcINqKe1tLM9ye9Kw7Lj XEXe5Dwp2AO0hfIUrFTpCodTgjOWTi3yBIL7XEDEyK1yQ9cQPldd06Z+qHhdQyiGb/LmPuBlLnCS z/sp72EmiMXp3udzSKJleK68hchAMRBSnm2JQJmqqmmxTAlmHL/5XjEs3yuG5XvFsHyvmCwXIq0o tY+Nr7uDtmju48LkTxA8R9JWshvWefoir3if83SjkgvYBtZKxkB4Wo9znqKdjbl0Ykrf1M0eIZIn DFjb5N3UDj/lO3iR9zA9wtdkNWLZnDqmpO1DjppUIq4haKOEeZXfrfOhT/Juvli53k7O0+Grv3v8 5nvFsHyvGJbvFcPyvWIyC0IaVXpLKE4psnnZBG1hkx0IhqLH8y6nWKFYEbC0FdMPaz9XnbEmLFxC EK8thF/3KD/0HVuRRS1NJXCTAysI+qbDd5vr2TfjLndArrfKWxYOLEWUOqvSGcNXyi1b1+8JQnw0 pE+KeDW/Qsa9gnhr73K78kk9twMdYli+VwzL94ph+V7xp3p4OxBUw4gtUyF2IJiCHK7USDF7tLRK fZqvZyBa6fHlFeQAsNzOzB18k6MKjSUvVR+zLb9MIFnPr9DPeZSXuegWglUZT1gyI8zcNUbOI9U8 8yZMmS2OYb3Dv4PofbG3MNk3bm2bh/kqbmiazxvoEMPyvWJYvlcMy/eKSVXNDrUKWy+g7YNlhTWg dcGqbim36R+UualpmYfrUsfQBp2VQh8mVFxDECWZpeTTyUd5D32p5xAszUQJ8rH0/xq/JqGyH5q5 tBZykUFtc5PkqcriEbSeVl3JCqHG113lZB9L7zC5Df2wOwunVn22RfD4zfeKYfleMSzfK4ble8V0 BKGCKcuVILZbaFla6d2qjmQAnIVDLDqsk3ADQV3eQZsjoQtxlQPk3aw8pyimRiZ1Ocwr1OYshaJT 1FwPgwpv88hVvIffXeee5aJX0BI+naxWGzRRwofR+3qTA5scfYTw5n4NbQ9a+7AVGiosmWJKhyR1 /OZ7xbB8rxiW7xXD8r1iskRbSWw1eqyU8iiJt+Rky94Zr2fsmwXmCsMrRd1+zJV1SZI3L4XeFOh0 sl7lEx1A27H1BkKVlKqpMeqRNYfXxzdUr9QW1gFqLoWRdqUYi3VYlCFvcmU3ZD1B3+QaIvpO2qjY WjrtlurGU97SHYzffK8Ylu8Vw/K9Yli+V0znEAzlEtpgMqBVtw6hzd2coHUhHkMUfzMrQD+iNIU8 usl5X0K4TD/mZTIeUVTEq1xKVqqad54LWPZYznWcOzC/ghy1a5kuZ93Ql3lfaagymhF+BxAu57v5 tRZ3MTBQn7BOYGMWX0FoeHq+DbeTj1sFRTOaZHEHkZAyupZ1jWH5XjEs3yuG5XvFZP1imcL+/FSf 4XmOmm/qtUay3eYUCctRrleCyUxOKK5fxTNdnMpUpQeZFEyHr6xPOcu6KWpfFrEzeO4kj0o8oYzR ys2mIUtDTwF+my/iD/lxB23NFWtM61A9yt2TNzJgchfaLrNSxNP5izCv4yQnq16O33yvGJbvFcPy vWJYvldMZxD/960tokKlc1ImqIP2KI8clV9NEKRjC62H1zLAfthM9h08SxJ1HrmKf7NqafLJUhVE R67JpD6bvNNoPguqmEpCLkCOljZgCn5riPrKXwP8Ohd9l9e6cdU8j9yGxfgKrdXn6rNJG3+CkA1f Ljzq+M33imH5XjEs3yuG5XvFZFNX3XtmIwBBCM6hzQ9QQjI19ApCnDJdoKwiyziC1i2rYrgD4d08 zgELluiILJqWeSKf8jLLBdsP1/rAH3KAHDUYr/SW9RdymgvofZUyGcwIwHe58b8E+GU+2yXEO32b C5zmrn6WS/0Az1qNqdKVF6Ea+ghhigNoDWpxv/Gb7xXD8r1iWL5XDMv3iukTtJXd9iAYhb0WTERQ KPsEbf6CuMkF7KtlgJnSVYFTbHF2lt/p5tW1WhI5jEuzxYXzfBhD1+R6T/P1yO8kfDqQDU0kj2y8 W7ZxD/DHHDjLy0zVKD1o9RPvQPs6n6Btj2tKhxWPfWFXECyyJHyQV4zffK8Ylu8Vw/K9Yli+V0wf IdIjSt5sIU9Czc18TkWsUsXjHYST0DC1m/wo2tz9/KOQHVU6+RW5gFTNUD1ZqSVT5DnqiXLRwv/M VfDJTYU1a1UPqk5bncCnOfkit2H5lgtoY/3MQAFC5Xyfpwp0PqA3L7m0WtDLpPHjN98rhuV7xbB8 rxiW7xWTeaTyJiPjpEdWCpFGlUp2Jd3CJhbqcE85oGT2EYLY6Mh9CSFJ7cIzl6TeXNXGRwjpyqxf vaWlb4bVQ6SSpznvESLDV35KbnLK+37Ko928ZSkCfQjw5wC/gtDcvPYVhCN3BUHz3gK8yVt+l8ub bqsD2SYbpZS0b/w0J5NbG3F4XWNYvlcMy/eKYfleMX0BbThbcVjK0kzC1Jeq82/KU3MB3kOrCaqM HeeoibLbvMcEwXhe56mhdbaBIJff5hUWyjuDVk80HeQ2r9U1LeOxJYVdK2RuBsCZXizrU2iUjLmo lQC/zx2U/rC2GvPaEwiOaRLIUU5RfCSvPZck/QAABFFJREFUlYVrVTNflDXHb75XDMv3imH5XjEs 3ysm1R6rbqwhqJCKnO1TveIKgufIrw6glfl0EqotlYK7Symzawg5y4FdaKP+5FxWQZYxXkCbN1v0 Se9xl4te54dPac09Ubq9mgprkw0zHqyC90eI3rL/CvFOJwidcIKgnMZFHkGw3K/zAc2W0HfsU6on StR1y8rCR6ZF1xiW7xXD8r1iWL5XTOZpKkTtQjCyFbQBXPYvO4a2YF0pwnsPLYOSJxq5V+iRAthh Lq+ndZ2jq1zUfl4KjaWFROlue5q3fIJIUy3Ff13ZVmOXeXo+X3SVK8u+zMOwDvP7PHqA8P9eAvwe wkl9mPv7kPc9BPg2B0ruiNkXJoFs5w9Inq7n83R6D3SIYfleMSzfK4ble8U0QVAXvaU78KxkygME 5/qU3znPPNdraLWvRwi+dgzP4uZ281qbdelW3IVgN6fQ9octNfd0Z37KedY+0T3qPXRn2gXjJo+e 8pTcswF6PoweXjMZfH+lya7O7L3c6ce8JbmAObIPEExwnQ/4Ikc3eWScYKnX4ofSpBsfv/leMSzf K4ble8WwfK+YNhC1cdV9lJ/UpXYhmJsykAFmCkzG4Vkf5FWutwtBSW4gPJRL4Wd3ELzkBFpyp5r3 Oq+4g9C+Siic5X1VG8lVbvO+0h53sA/wVQ7cQahvSoQyVZ2ssjRD4WSR1zn5LCeXWoRf5MpHEJTO 1JQtBN9VUzUuklyKvC+5tft8EfvzeQN9YVi+VwzL94ph+V4x/QO08pPOUyCohlRIrgc8I4Zmy6qg HUIbqkdOMQeh5OGq6x1BsK9bCJJlvoZa1e78O0nMRV7xElqNUZ+rDWtlbvZXMyqxuLAt86ej1Ha2 dxACndVSLIqyzXnGLJI7MKBuA8GBXeUe2iSVLYQVjnMVe9pOEK9OmVSRcvzme8WwfK8Ylu8Vw/K9 YjIfQmrwOD8tHk/juax9InEwp2ED4Y3cA/gxR59yYJ2TS3+Ik9yBzc68+S4EsTGtoJAY0wpuIRRD BT/5pF1wfVS71hpfZxrtHrRiHDnlPbTxiaah+HaNoANa1c904FKg+SRvpGUM6TO2Ue5oMUOLxcg2 HR2/+V4xLN8rhuV7xbB8r5h+D23wl1pVaeWgo+8YWlGMvML+ZVY8/ghtgqllgB/n8/RuWhDY6DYg 6JbX7iwM3EBwR7tglNYVQEtIrS1Xis7ZJKxk5OrNtXWZz2YtFd+LJHoHWtK2B/Fi7/KhnyA80K8g jHILbVSdbu2zfPKS/0He91NuaA+Cd5aSMwN9YVi+VwzL94ph+V4xWefuAFpC5d/EBtpiJ7afsP6u Ka6SGKmGbk9rCxtat4W2EN0uBMUx9/Vxvop6op0xzvK+t/MbWfaOvId+Z32u0jdTieVrPoytPyyo ssmbL9WE2csp9psgt3adu2f+qBLIUjF6f36tpjjPyT5gSUgB2tyRgQ4xLN8rhuV7xbB8r/h/Tlfj i7Rg+KQAAAAASUVORK5CYII= " preserveAspectRatio="none" x="0" y="0" width="100%" height="100%"></image>
</g>
</svg></td>
<td><svg xmlns:xlink="http://www.w3.org/1999/xlink" xmlns="http://www.w3.org/2000/svg" width="505" height="355">
<g style="stroke-width:.025in; fill:yellow">
<image xlink:href=" AAAuIwAALiMBeKU/dgAAAAd0SU1FB98EHQoXGGM3tM4AABfOSURBVHic7Z3dbxxHdsV/nGlSpGRZ liV7tXkINgh2gTztH7L//0uwwAZJvNl4/SHZsiiKM8M8qFBn+vLeco3pPCT3nodG91R1VXUfNnhw v+rsTwBnAHf9jOg3+m+sWw/OHXcAm966cVp1ZsYLV3DmXIYYd/bmvSPAmXPp/WZGNrN5c3hvI3xD GuoQrVRdzAOa1s1wgML/XxTzWVHMZ0UxnxVLKMtCcTcrSST9xuJuLCVn1VyIX/gcJ40yXtrpb20s 7u7WXU7HGdQ3nxfFfFYU81lRzGfF2T/Dz1moTrKbuZPAlCQ5Wx+268OyPtPl7IJ+oR4y8Exw3kQn KdpQXXtns6LSHA7ry/rms6KYz4piPiuK+axYgGOXX+jZ28Cx3Nr0AzCv4bzOoWd07/wmmXIAOIf2 DOGfcKhPw5XOPodxhZp7x1NOCMPwjjvnt/Ei91AKr9BQzGdFMZ8VxXxWLJ4dSRJC0m+/bt2ubzOY 8L6aMw8SJzLpaVVnvXXTLz274+nGx9P7GV1n3p8XNydH6cZpeIi10bxdo+tK4RWK+awo5rOimM+K Zbu+NjKA9ZlC69QgmXK6kJu1QYVpBZ4ZzRv+13HQjmG0lOxmrBuA47dmLJC/zpo9y6JBffNZUcxn RTGfFcV8VixGRxi71BaaTPFsUMZIdOYcxpj1N3qT62wiz/V0jOWqF+K2X1+Gnm/pYqnrUObNIlyf h8q0SI1iPiuK+awo5rPiYxxeGBkn96gyAIzjdZzZGQolr18oEb0zaaRf8a/X81R7ao715a7/dgHw GOATgKf9tzOAtwDfAbzut0khn4Qw4ddr8OId65vPimI+K4r5rCjms2K57aeevppNHA1hAtG8ah/m IIevEmUP6y4mtXYcfTeGp1SNmjMHtS4AlwDPAD4HeNkPzwCe9EXuAN4AfAXwZ4D/gGNv7uxXOFEy xXvFKk1YNrzUKOazopjPimI+Kz7a8IzB6nR3q4GnllgPFRr3DutWWekk7i6gpdGa1tB37EENkm/7 ftj1My3jEppt7jnAl/3wRf/tae+3rOfYA9wAvAB4BPAB4K99pRN17jx5aWYzD6MHVGrKr235LPyf QjGfFcV8VhTzWXHkpTXwVN8YnmPTg1f3w7s0lrsNNHF3AcfmuzM4rpEnJfM+Wr2UoNTcrg9607t8 AvAZNA33JcCrfvYCmqR71CfXc3iHy975APA9NH+tVhpCo5z3pT3u80rWmrcrp7LJi65vPiuK+awo 5rOimM8Ku6eFQSjaJty3Y0zYqoCmSxZowuYc7v25bnrDRb+U7/NmPZsRdx8AbqEpvHNo8u0f+uG3 cGyl+wTgqq9Ky52IMdxAk2WvAP4R4N8A/uaM4gnhDTSdeNWXO55Sl4a8+uazopjPimI+K4r5rFh+ eugIJkFj4ox+5kXfbdZ3yPLkFTbWHap9rAa5Qg0OcKzrbgE+BfgngD9AU18v4djxKsdwGL5HdKlV baHpxFd9jq+doTz5KzvmrLw09x7Wl4WEKOazopjPimI+K5aQ+tn0TmMZm1V44WxhBZWw5p6XOCDP rQdF6e2gya0/APwRmsx7Dk0iGnewt4JZU6eWewEtN+MLaALyui9t49xrHstLhPE6m9epkeubz4pi PiuK+awo5rPC1sMTxhIiDGwLJdhsoZQQ3h9pmK8hOWNMV94AXwL8HuB30ISXSZTwVORE3FwIhfl9 0c+u+23hvaa8dCglvd+81NpCQhTzWVHMZ0UxnxVxxWPz24RU8zobC99m3Rp6bnHuPQlj26FJSf0c msx72hcpGN8xTquZUvOOfa6X0PI1ngF80yeSIS+UsN4yQpkXhvQVEqKYz4piPiuK+axYLobNp7tb zcYM4wEO69/Cyb3LM6fVg2fs0r1baFkLJi/VGLvG5rut009RhOYgnENzB78A+HdobmOlA5vIwnEG hcHYwlfffFYU81lRzGdFMZ8Vi2xGJymFMEhsHOM1O5TG01CHdYPOxs7dhxRt8cSdmXfbD8bmZh7Q lNuTtn0KLd3iClrxFE2pFYTuWy/czivVYlDffFYU81lRzGdFMZ8Vy+7n+5wEU5gtNPidlGnrKdAJ cQcM4vA08g20nFtjufP2zTAjm+rBoQTTKKrmcgfNdvgFNFft636b9kMzMYEadCISMNTU9c1nRTGf FcV8VhTzWbGYSLFZZ6xBaEdifcbwNy8NQCsw9XzH4XvjeU3DO2h7xt7CcUHl8eYPoYXP06I6k0Xu AC1f9/N++AqOd6PY99u20cjj+D+i3+qbz4piPiuK+awo5rNiuXJ+DGWUOQtvE0LtaAqCmH1fDUxD aOvz7HrGhudppHcAP0AzmV2B73g1t4XP6/1m7tDjL9D2zZCr9of1RKfvQTFr2ywkRDGfFcV8VhTz WXFUMs5zA07oOmHsRh17Vcd5sxNxfV7G6wGaVNs5d2jkD9Dco++glS6ZWKknXEOYO0xQ4RNortqn AG/WyzW2Oda/ha/OaygbXqGYz4piPiuK+awIiwK7mBAxswOMXYgGRg95BwXFGVG5QNNwnhxUUNwP 0Fy1v+kNY9Ebqq875w6vBIvOVDflM4D/guYx9oY3o4zfX6j/6pvPimI+K4r5rCjms2KRA/T0mLuH xOuNzV6ep1WaywgbI6NMDJ+2M5NkUuu2X76FZjy7dYYPMZETHCbZKtdjC8euWm23Zib3hNwv9J/X N58VxXxWFPNZUcxnxXKzvg7VgyngEYa9TcBzHHo+yAk374QNT2ppz31IE15Dc9WanWzDsnxji6bp PFZfG2je4Zf97G1vCD283lBhVKKnmgsJUcxnRTGfFcV8Viyq8TtRekNGp1BMnGTxGtfzMMrN2451 QhNeQPOC7qFF5Hmmv1toCu8tNJepFONsOrC3lvDrMrZIs8XF11E/PYLZImRMhXmO+uazopjPimI+ K4r5rPgYh+f5Ag1Cd+FJhqNZhWcuPaU1a0DUrhV7gPdwLFLN1rVv+mEHzf43Ie48y2eYh2ugyRdo 4u45NGkqV63UnAySY+0Ymj+rHl5qFPNZUcxnRTGfFYu3cVjoiPQEy0QawKwjdxzJ5tX9HS9NDefQ agurjrBade9PAN9DU4KPh+vzXpjnCp19/C3c2+JCTnTN9qEfjFlzwpyqsMv65rOimM+KYj4rivms WK7X18buIy3gbVMRKjKvdJ0HL0fC/C2aoDPjZQwzRc3k8tc+hlYUxVRQ3kATVN9C03rPekPoSvYe ZmxeHN92Ba328afQ7Immyw6aAn0E99KhQ/upXOyl8FKjmM+KYj4rivmsWMaOPnM5kbY50erBOG29 DAqlvXrLGC9NQ13A8V5lJuBvD82G9xpahbqL9dImnsOs3rhHzRnrOy6gKTzVTTH5zgdoCu8S7rmw PaF55xzqm8+KYj4rivmsKOazYgn1UHjm9XsIwpGNfW0PxzIvFE8awHOjKmnjrg/Kut+PAN9BE4HL unW8evPCzIc1UbVugWa+ewHNSvfeuWNsyNOgYX2V+uazopjPimI+K4r5rFhMOqYwK+m8ynhhSF8Y 3GdctZrIpNGaO7xRQqetkXn7dWcdrqEpvJ+g+U1n4+uMihwnmnhQ3ZQX0Da7uIZmudOHqpyL2z6b WYY3r+iubz4rivmsKOazopjPiuXi5/ucbr47qabxWAUtcE+RqUiwseF5UYQejEDToGfQJNP30Kx5 n0FL1dC92rXWQArPrM/r54UrbqB5XxWM923UedcPXlay9/jb3lDffFYU81lRzGdFMZ8Vy4QECyuU ePY6okuc1rG5bQstLs3zQRpzlre+cBnjfBKgbWL2BuBVX4s5eFPK06ou3jLG/tpzaOLuaV+ad8ce miDVwifKC5bCS41iPiuK+awo5rNiMbmqs9mygtkkzCCsljLuvIVmyTrvv433Vwtl3t36Xq+LoLIs 76ClW9xAC3YLs02MgvKi73Q2rq+nx7+C5qXdwrGpTv1MasqEpi6FVyjms6KYz4piPiusDW8iUsxA EjEUcmHxFKPX5Pu8gCbujD/UhNsRNXhBe/v1WsI1b+HYVXsNTWmdr/t5jmHTai7NwWswS5PFcMd9 KFlkYiczs9z65rOimM+KYj4rivmsWJ7BwAw0a3RifTl25IZyxqQpbNcNgvlzDYPxTBdF83mtOpMS fANtE7PP1w/jJZAIJilCSwvFnRFoe2i2w9uffyyZDc3SzH4dd85thYQo5rOimM+KYj4r7K5lE3a4 2cRbrzW0cxmFZwogb51LwcubMMOrQYVXwtVr+B+huWp/28eTGAsTaj2Dmu6V3JIJTu/0AM1F/E2f 3Mss0cLD/GS9K88yW998VhTzWVHMZ0UxnxVuPTxgUOdkrOa8ewUzipFlJpNBQXEy6S29gX4WZq16 LuIwYM2zE76HVjflGo7THozMow9qpJpwWP8mwWe8yD8CfAXwF2gyz8TNGU/reT/zXntoNqxvPiuK +awo5rOimM+KJUz5HOcHhPrPGyrUesA925wOC7SIvEf9TGpO+k8Sx4NnNhy7aoUdNIX3A8Dzvgzj c92uLzVe+BL1CCpd/B3AfwL8K8CfobmIxZERs5K/Z+t+Rm1qttq1rFDMZ0UxnxXFfFYsj50fvTC6 sTUvzG4ND+Zezy0rcWdyLky8niTO2NB4gOO8BC8Zwzz0Dpqj9O8AL9ezmSfy/MkeJOl+hJbN8d8A f+2Hr6GVWzaWO2O91BvyqgPewbH81ZOXwkuNYj4rivmsKOazYvkdHAd6ySTF+jdjkjqsf/MMVnto ckZbLyjozPMeAu1v8aofpFBMouw2ajDjeQua8NJqvLcAf4Om8M6hFXIxRjGT0ypVtYMWWidJ9w00 2ahwu7fQ3tUBjrdW8xa5QHtDF87qDfSuKg6vUMxnRTGfFcV8Vixe4JjZz0sIU2sNTEqCp748hSdx 9wk06eJpuLAeioZSg9SXMWKNIZPZLTSF9yk0tfS8r1SWuwM0gXYDzUr3Bpp8+7YfXkPz+r6Hpv80 26M+ZbjSLbTyLU/WTzkRISnUN58VxXxWFPNZUcxnxeL5TcdBdmN5ZJTbDu7pq3D/BdmlHvXLiTTf sPiHyV8NK/d578AM/xpa7sMO4DfQEi+03cYNNFPdG2imOqm5d9D0n/Ggyr9qHL56a8bwdglNbcqK OI7681DffFYU81lRzGdFMZ8Vy9/hxAIoY5tRKDUmjGdmmzIvtszDZtjvJLujudSgB2he1WtocXNP +uR7aBruHbQIumu4V87OC9AzqbASwjIMamlbuLeTWbh6Ay9ZuJAQxXxWFPNZUcxnxfIe5hMqiBrC GiQGJr3TXG7h2LC1dW7zUlKNl3Y8uVmuqWliCgebOw7QzHJv1oOaHA5jLAwLqpjcDG9e8w4u151n Yd4z61UVcqGYz4piPiuK+axYXsFAr3nuTImd0JFrGqR9lHMh65aZSHau2eFnw8/MKMYLauZVlwM0 36wxqIXy11SgUWfzvKHhzTNIGvvfSYF3YS29QkIU81lRzGdFMZ8VyxPwRZY5o/cD/Fg6wROLd9B0 3Xtonsz34IeaTUiXWXHn5WFo/zJVxvMqFJsAQhP15yV8aA5zpkvz6kz2sifzdDmWiKaz91spvEIx nxXFfFYU81lhKx4LY/Hkhdt52a3mL8vUrztAC1gzJq6HOCK9lZqNKMzuYUbNmZIuYdKuZF6Y5hH+ JmVp8mb1+Kb+s15YmDFiJvI0cCm8QjGfFcV8VhTzWbGELd7mqmOEzk5BdXr30Gx4MuSF5UxO0noe wpJ5xncsBTWWq56lzfNoq8GYP+X6VbZxGKV30Q96OcpFCV3ngn7brM8KCVHMZ0UxnxXFfFYspxvK gIeZhrSbqqx5MrJ5O4qNF+TJGXNmukhk3fSDmXdsuTv0szBc0cymle6h6UmJOw+7fnYN9zZyu4B7 e31ouZ473VQ5rG8+K4r5rCjms6KYzwpX4Y0Tamcr1HkII9lk0/rQz2Sh8pZGP5tNOlDnHTSRddOn NEOFNjzth2ti84yqkonQbHshheeZSdVPFr6D0/nMOXjWvH1f8x6OIxDrm8+KYj4rivmsKOazYjmP WjwZ5cGTVmGWqRFPZpdUeW4v+2GiDou0lNGOxm4moaSdJ6Qnxw9oFJ6GMoFymvLgnIWxfnoOiU9v VRJtrFs9Pe613qwfppAQxXxWFPNZUcxnxUeF50kN7+ww7Dz7VyQrk3TOGTRNcw3N/Qgcb102hknV EDSRjHbv4HjPMGNp0yI9QSqRtetLk2SSXFVnk+Fhog2NDP3QzzzRtoWmfFUYeulTGgfyfv2bMe7V N58VxXxWFPNZUcxnRZxpAfi+SqOHfmFhE2kkdbmDJsHe9i6XMBVv5pkcJahkGXvf5zDizggvYw70 nMreyzHiyVukEXdmBZ4JTtF3j6C9DXXxdjfz1KGkn84KCVHMZ0UxnxXFfFYsntkrhNEvRlaEoXqe wlOUmdGJt+suyjLwtvwSvNwCT0F5FjRPI2koI5TGYYimzon6eZZP85tJOZGB7lE/yB1s9OQCx9kr WovRepVLWyjms6KYz4piPisWE8A/EW7nhfd7DWE/4F69YSNElIhwC/csaONSc6Ely0Po3A37hXGH 9Fa908VpDZ/DWAy1h5tMmB4LXsk8E6+nO3brOQoJUcxnRTGfFcV8VliF52EcwM/6MqwyonvNNmAh TDbCeLOLsUCbdSWP/c6huDPOXRM3p9Uv6y7GsqjhVezO6DqzDDPURGqtHLT1zWdFMZ8VxXxWFPNZ 4So8T0J4RidP8E3E5klqhBJxwvoWrtlzG4fwth/z7g3FXbgBhl7sFpqTVWkjxnNr/MlmgPFroi/D cyp70XdKESkkRDGfFcV8VhTzWWHr4c2qqpPqlxj15cmZUIyp0K/JX5hYhrcq45GVkc3LtNBsnnA1 5jvB5KKcQ8sYMZtimAEO68MEQhf7WCdWHF5qFPNZUcxnRTGfFYuCtUL/qoEngMyZ+oWdvUGFMzjO HvBC10Lp4q3KLEP5BpJgps6dmUPDe3LVPKrRoipsYmCcrN6Z6WzumDDAeg3lpU2NYj4rivmsKOaz YjERYCZFc5xb4EmIsZrzTFeeLJO40+5cCk7zEi9MvJlRfWYzCVMAmT6y7mC9SJOH6z2MgSdSzcgb gKe93x0c72R22w/e/rVekorm1Qe9XZ/JfFfffFYU81lRzGdFMZ8Vy0vww/GBe+Yir+SHORvDC7Lz 7lWRkMt+aSqFsD7TbQaaY9+7SDx5Kb1muSa7VUorDP3TxrsX/TaizkZOX/XhH6/XZ3YyC7czC0fe 9s6msmAhF4r5rCjms6KYz4qPmmgs1aQUTKFfL8liIkDPq84rGHkkD+rYd2yG8qyS5mDg7SNmRt70 VUnhmeeQNH0Mx9F3JuRQ5Uze9dtUHkV36Dfdu+3LuOyzmRwOLUiSXfrUhDUWcqGYz4piPiuK+ayY rodnlMy4FIpnCmPdxUvp0Mhyy45lmWcPGwcG6izckdezjJmhZAVb4FjwnUMTd4/7pWezNOF2qvoX bl1B76LJtcnuvjd43muj9SqXNjWK+awo5rOimM+KxZTFDe1XExU76L+FA8jVGI4nM9W4AJ6wiQ5a n4mgk8PS7AAh05pxV5sunvvWbCsh96hB+Ju0nkYO/c4yOaqIsdfPxAlWPbxCMZ8VxXxWFPNZsch6 pH/+Y0/rbEKFlx/qBbGZQU2mQJiMa1JXPTnoJc+qwfzRS6odnM5mou36oKHCBBLPgWzWYty3ChsU PBvo2FIZyvP65rOimM+KYj4rivmsWP6ln0qCXUNz/klR7OA4s3NsnNJmDabGm/ntIUkbgC8HdWZM V6EDWSotDEP0ZF4Y9uYZOENbpPfteSVY1CCza2jl9DJkJuYtZEAxnxXFfFYU81mxKM1Syk06Qn8Y Kur2oR9M4gX93lDhmYrCoZvXKzpnupgzIcz6DcWO9whhARlTVcUzj4WDeg3eO/CW5pVbCeMTRcCd cwDqm8+LYj4rivmsKOazYvmL86O22QLuFfA9h3uBbWqlNxil5WmuUCN5e0ucBG8ig9Cl68Hz63pT ztoivYTkcNAwK2Uc0ufldQj1zWdFMZ8VxXxWFPNZsXjqQW5ZU8rNmLNCA5MQKh7PVCd4jtdZTKxF lw9Rkf/L8LKDQ4U8zrTwUN98VhTzWVHMZ0UxnxX/AxvdG97/fyBpAAAAAElFTkSuQmCC " preserveAspectRatio="none" x="0" y="0" width="100%" height="100%"></image>
</g>
</svg></td>
</tr>
<tr>
<td align="center">
        (
      1)
    </td>
<td align="center">
        (
      2)
    </td>
</tr>
</table>
<div style="margin-bottom:30px;text-align:center;" class="caption">
(1) Input image. (2) Result when using the default values.
</div>
</div>
<p>In the following images, the results are shown that are achieved if
one parameter is varied while setting the other two parameters to
their default values.
</p>
<p><a href="#Sigma"><i><code><span data-if="hdevelop" style="display:inline">Sigma</span><span data-if="c" style="display:none">Sigma</span><span data-if="cpp" style="display:none">Sigma</span><span data-if="com" style="display:none">Sigma</span><span data-if="dotnet" style="display:none">sigma</span><span data-if="python" style="display:none">sigma</span></code></i></a> controls the amount of smoothing, prior to the
computation of the gray value gradient. Be careful with very large
values for <a href="#Sigma"><i><code><span data-if="hdevelop" style="display:inline">Sigma</span><span data-if="c" style="display:none">Sigma</span><span data-if="cpp" style="display:none">Sigma</span><span data-if="com" style="display:none">Sigma</span><span data-if="dotnet" style="display:none">sigma</span><span data-if="python" style="display:none">sigma</span></code></i></a>, because they may lead to undesired effects.
</p>
<div style="text-align:center;" class="figure">
<table style="margin-left:auto;margin-right:auto">
<tr>
<td><svg xmlns:xlink="http://www.w3.org/1999/xlink" xmlns="http://www.w3.org/2000/svg" width="505" height="355">
<g style="stroke-width:.025in; fill:yellow">
<image xlink:href=" AAAuIwAALiMBeKU/dgAAAAd0SU1FB98EHQoXGGM3tM4AABeqSURBVHic7V3bjiTHdYzprpnZG0Uu uZIIw5YMyAb0pB/R/78JMA3DEiVR4t5nd6562ERGZ0ycZPZo/WCcEw+FqspLZXV0AYFzy5PfA8AJ ANz1M0T30O9hbL01I+4AYNdbd6aVZw7ST5bmOrvLcNjdeHCPDJcGoL3RLpoZ5p6bfv47hwtyZ2GD 67IziyxkQDGfFcV8VhTzWbGFsuwo0UEhd7y4C7WUW0GIsLN7IyfuYLosPJIvOBdjC+Lugb/QwiIF J33NhYQo5rOimM+KYj4rTn7DU2kZD3LvKPUlky600jy2mcO+HyitZCznc2pzYS2rXdBnpuBbMNCF VslVM18oZt0Zl8aV1jefFcV8VhTzWVHMZ8UGYOLipCAAMPFLylinXxbsTcQdANyMl06rUPDJg5wU Ekvbgkidrzk0j4VnMtZ5oOdjj/oROeIaOOSyFF5qFPNZUcxnRTGfFZtci0a67Q2ir8SCNseCLuEs 0lmMYrw8AZoIdMuYR+4db3x0WBCuYYycLEPMi+HTjgJlstgYS+GlRjGfFcV8VhTzWbFR4jnDlsg8 4nbs4v5AczelQxhq5g4wl1xQePkZsZDswEs5iNv4/+QDFAOs/Fb1zWdFMZ8VxXxWFPNZsTEHAf2M smw/Xgp4z4WfhcmfDnOv7zzdVi4/j584hNOYFMJ7oNnN5McRaXU7DvtnYhvd+uSRhIQmFhKimM+K Yj4rivms2EQQOKlBEUjN4Lyqc0UhcE8LBdq8y/ywsJYQotLk3r43UDLtAeAZADzph7Pe5T0A/B0A Xo2Tfp7s1jBFmM/4jE8r/D9FMZ8VxXxWFPNZsV0Bh/wv6LWj4JQRzD3RjtQgO9PKhv14WAgMnMs8 WZCEx9FKx9d6CgBfAMBzAPi6n33ZW2nXewUAfwSAPwDA//YGWvNWYxudhXRB3FEr1zefFcV8VhTz WVHMZ8WBDY+Yp4EuICzbcfwEroLKKdAsY1I8RVIXXAChW4a4TNlvDwAfAeC8Xz4DgK8A4AUA/BwA vun3nvXOp325/Il/0TufAcAlAHwPNJm3753nKSJUguf9sJmn8WWoIvmg+uazopjPimI+K4r5rNjm eQmrhryjkg5CiF2Kwovi7qwfRNyJzLsBgKs+S7gWCZk767MwS/croMmyX/bDz4FmqnsKNJF10seK B5pPe9Q73wDAjwDwGmhaL3SEy5o34NAJLAZYl20s6vVmHFbIhWI+K4r5rCjms0L3tHBw9UsEx5eV c4+c39uAZhmjkKP+YyuFzR3QxJODVAC+A5omfAQA/woA/wIA3wITSccQvDAFA+NynwBNJ/4KAP4b AP48zicQJ+s5ADzuLy1v5HJMHGX1zWdFMZ8VxXxWFPNZsb2LWlwi6vyMcF3c/mVioAuTLOgyZXVj Wanb4oKGvHn9khugSaZfAcB/AsC/Ac0P+wXQVB8dr5wF/d1kQQ5832dAk3kvgJZ9QVUqvxBBO6YW MowQWk3rm8+KYj4rivmsKOazYpN6KMefoV9ibMXY6jYYcxm50sDLuaZxf+Gtzzwvt3IOAL8BgN8B wL8DzTf7CDjUjpIFcZRHW5TbKdDSMl4AwHdAy7RdWK6EHM4RGgbrm8+KYj4rivmsKOazYnOC5fgz jPfmwtCNcKAcDG1aDpIu6lQkW6+BZkv7DwD4NdCyYM/GCcISLOj9VlNJuL6nQFN4T4FDhRfuoHtU Fuw8rq+++awo5rOimM+KYj4rNNPCYS7QQtOVGzZXfaHnVp521DJcDBrGZzwHWp7rE+CejWwu7jBt nau+R0DL4fgZ0Fy1EhgY/kwPhMQOFhKimM+KYj4rivms2M7G63nVuhAUHQt/pblHVu45f+08J8Q5 kMPXOgWa0mLqgghNZw50y3UWQzmIfNuA5g7+GgD+BzjcR5ZZsMdLuoWc5frms6KYz4piPiuK+axQ Gx7NO6ycdg00NcIzFtyQXbfmxYSdSWruvuUIl84w1z6huJNWVziY00vmrltBaG2US6lVtwNaIscL oBkQr/oI9tuPE4RwK6hMi4KgmM+KYj4rivms2N4C9zZrYIYCtd51P+NhP451uRREWDLPRdq5jAzZ 42vBecpXuDUN6K2X/SAuYikN7BSedBGJKJ3lLW+BpuuYtPu6jxBDnjxjrl4Fzp5Y33xWFPNZUcxn RTGfFRs3TXUxchIP5zIP5L8TShxpJRbSVGXf3DDrY8Gu54x27wHgHdB07FmfJVyV+3FC06Skfsjr nwOHm51935cB4J6rNozIcxZDuZTSz/XNZ0UxnxXFfFYU81mxPRmvneUpPBPM1c283MrNdJXOYBWK O1mfuDidxvwANOPZNbAkOcPSLy7+j/PBLGMDWvruC6DFBL4Zp6LBNMQ82rCqpRSIYj4rivmsKOaz YlsIintgOmuoN0JjYahGnINWLulVlfi6hf/2JQC8AoALoMmtOVYTIMIoPVn4U6Bl1T4FmsIDcC9y z9kxQ/f3wqoKCVHMZ0UxnxXFfFZ8KiN8VLYssVDszs0SxpE5hbegRsKMBwYVysYWIhFvgKaqwh0+ 5Gmy5nmiSajI2HAONIX3FQD8pa9qHr2In24NSalvPiuK+awo5rOimM+KbV567Xh8xlnQp3JhbwKx 4XGWU6BZ6W5NK5/xDjh01bIhtL5h7Be+h1uuLGMHtKJ43wAtEvDduAJJxg2ncg93crq++awo5rOi mM+KYj4rNom/lzN36XykYecFzCPFnG3O5RuEwXNnwKHCC2uufACaq/bj2DlUUEe9qqg0GbsHWlbt N/3sbR/mAvmOglt4ffNZUcxnRTGfFcV8VmxhtFwI52VcjUuTWZzYoXxjzTimJMyNYs6IxZrGrPri XuEGaArvHdASW2kyC22HoovD/A93T+Y768/9EgD+ChzmV/C3uo5WtUpFxeGlRjGfFcV8VhTzWbHx 9PiIfXae2/XcCPe0UOs5V+OqntwDLc7tBmi5FJK5wap/b4Am837Zx/K5MkxWyoZQgYYpvdSiXwJN 5p0Bh8m9nPSqr4V5wvLwUFnyFeqbz4piPiuK+awo5rNim5cpCSFyK0wweGBEnpONm7mH6FJwCrR9 yW6B5rQFcC987wIAXgLNVXve17JQ10WkldsKIzSyccQzoJXHewwcumq5jKt+2MZWp/AcUbT/FRKi mM+KYj4rivmseKjCE4TWtzBvFr3BpcLKCKml4iTTPNUUwKHMk0Xy738FAD8CzVX7bGx1cF5aKWzs RJZb7h5o/uSvgbbFxTvzMtdAU6BnfVhoRZQGbntb33xWFPNZUcxnRTGfFZsogAcitNe5yzCRQ2LL xB4WlpXD2Nk13PVZzvqDbsYuEoz3Gmg1iKmgjsq0EO04t2iy8znQvLSsmyIjboFDG+PjcXp5I2lg CZb65rOimM+KYj4rivms2H66yycs6L9ViXhUBB3dqDf90jk756FwvNwDhxvvEpz5HXDoqj01S3PP dV3CV3XL3fWn/QxohrzzvgxnyPvQR4Q7XoTrq28+K4r5rCjms6KYz4ottCgt3BMsxNw5z61InH0/ sEjINnbGOGyeoepWsAcOy97JsEuguWovgFa6ZJ4EQnDNrjafvILTmAzG+wZoBrorM+K2N1z3YaGa cw7u+uazopjPimI+K4r5rNiYTLCQGTH3uYbRd+EZZ5E4PII2N6lQJ0JpNf/XPUjmuwGal/Yt0Lyl m+kcbk5LkeoWObf6MRjvOdCC8V6PUxGs/3JuWsNYv4rDS41iPiuK+awo5rNic6LDxeY5gXEH3Mst nfsv58WTBfRazpMJYBqc+JSZw6A9umpZN+V07BLWV3bmO1mfwP0kZ0Bz1X5hRhBS4W9B6kpYYyEh ivmsKOazopjPiu0D4I1su/GeVAoGcJjKuRCXht5vnozBe3ugSSuuKhQxC1kG7BcmbfDwAWjGs0ug WdXmCHM9iNu+grkY2wHNQfsEODS8OXcr30i6uPXtxhGFhCjms6KYz4piPiu20N4kOIsapAywqEM5 Ww2jo7hzZeXCDSZcMJ6oQ4xn7CKTXgPNhncBAE/HEaK0FjTrvFpKWAmG3mHZbo33bvpBVuCkbsXh FYr5rCjms6KYz4rtK8BXrZuf8dJZrdz/ab6fA8fux4NLnl3IpQgjBt2+FNKZ/d72w/OxVebbRfcI ijFnyJOfmBXvrsZJ53kdnJmtbkTZ8FKjmM+KYj4rivms+GQjCkPSnLFrIR5ORsiZU4ySv7AB9xRe mKY6z5twC7o199wwBuN924dJOWO+h0gwpwRpbrsbG3jJrdX+BrSiLXz98I3uxn6sLMMQRrdVWyEh ivmsKOazopjPii00txHi51xw6QqcMHQuTlrutn6gTKHTlmsWwbcaBLjQD0ALxnvVz5wrlAFwXNXN OItTc7fjJcXdWwD4IwB8BwA/AO3Nr8dXQH8kfxdJNL4B7pX+49Pqm8+KYj4rivmsKOazYhMHI+FU gZRjCxM0bsezfXTGEZRqNN9R1531gyuUd9ovnZSUN3L5v+wsI7iJ2WvgnquW1jyX6yu/3210oEf2 JdDE3R/64WJ8mqyPPxgvCVrzmCtDUVnffFYU81lRzGdFMZ8V25N+6sLxnYYL+wnCUDNxZ4oLVpTb eb8UcSdycJ7dwEuGwoXgMG5i9negbWL2Re/C96Bm5fpkPo64AppN8B3QBOQPAPAnoCm8vwBN3KE/ QwISd8Ch8nVfsPxWEqpX33xWFPNZUcxnRTGfFduvgXtWNdqCxCoU5lxIF2qpK6DVGxETkptFpMsj 4NBAJxF5zLmVe+HSWD1urvBklvcA8D3QdpnYgKY7+Uga40SHUdJdAM0F+xJoQXY8vASAN0CTfu4V +I0yyfYxcFhPBuNYMazuxi71zWdFMZ8VxXxWFPNZsdEYR9kjcWTEgsJjqwT/SzSf86WeAE3cPe1n rlpKWGTFrRTAYZ7DvFycYAOaPv0eaDWI9wDwJdBkHl+QM9NK9wY4NAL+2C/fAE31XfelMaqOxQed wXQPtEJ5T8zCw6BHjIusbz4rivmsKOazopjPik9BXCIhxE0p9wSuQQx5UinEdaZQetQPobjDeOk2 mJDpw1rAIjllgmugaa7XAPBf/d4vgOavZRTcR6AZ/F71w0ugWe4+AE368TfYAU0n8rcSzcqF895j oKlNMcuFJkzXUN98VhTzWVHMZ0UxnxXbD4AvAzKvNxJm1UpruIuDqBaqtDPgMI12/td0JsIwv8KJ u7nF6wRoNjwAwF+BJtX+DDRDI9MZLoCm8N4DTfCFhYgleYIu56txhEjiDTgUd6Eyn6OqpaRGMZ8V xXxWFPNZsV0AP5VGgbFhDxxW4hB16FSfpFaI5YnDXFGUudBccNA6OG/z7XhPMl5ZfuQ10NytDFx0 pVDcSp21kfdcoWQGQt4BzS0rP3b4swtcpZVCQhTzWVHMZ0UxnxXbt8BDMmilHoqTGrxkANwl0MxU V+NUhPPNEgtKZgGcJdztVTzLkiLC15rbMSXnVqLgJHwvNHUCuFcJkK3OBbvw09U3nxXFfFYU81lR zGfFp2opFB1yJqpAzFmyfYLTiSJsWPztPXBY7e3ODBM8UNyFGRluHzE2yME5lWnRXC0WQ8Enlrv5 gtwvOQ+84zA542V981lRzGdFMZ8VxXxWbKLN5l48KVMs/ZznUWbhXhXUiR/7pAsJug+UeaKlaDvk PmLMaXVOVp6FammefMxLceS6TJC5IGVw3zy1wh1ExhcSopjPimI+K4r5rNB9aeVybktzmbEi7pxs pNz6ABxmMhxVjdi5g0M4bUZd97GfhcYzeS3neJVFzjWr6DUaC2XNUtyZr8Baz+wsTnTnYi+FVyjm s6KYz4piPis2uQ59pGE/0UOhuBOZR2sewZohC2FlLgE2lKYuyI7i7mO/J5ARFFQugk6edmcuaa+T 6sti0pMz/rDc6+Osn3HDCnYWd7qcuZSOQhoU81lRzGdFMZ8V29xeF8JZ/Y5Sh6IEGaV3CRzuGTF/ +FzmYezHg9tuw6VbuOQTRt+5LgDuhe+JC1bEXRiqJ27jMEHXGTPDgMn9eK+QEMV8VhTzWVHMZ8Wm RrwOZ5cS7Mzl3K8rNffEdHUDNM/teT8sJBMslEehRqKKZF5vuNmFC8ET+UaPp8ugxdj5Zjw4cXfd V3Ud9XNLCzOfMd6TNI9CQhTzWVHMZ0UxnxXbGTCJ9sd46VSGy7SYyzwRSgQLB5/2e9yX1qk5p3jk kk5RbiYmJYklb1ZmmWc8cGkS4ibuUfFAh55bZ1TkpBvQHLT00kp1aGo4l+9cCq9QzGdFMZ8VxXxW HJjwXOgaAF9hd7XESTi9ZIXykR+BttHXDdD2L2O8mcT/harPRbxd9ukve4MY98LKKPLccPVy6eRv uEjqP1HDe+DQrHlqFsRXOOlnGO9xueWlTY1iPiuK+awo5rNik+zRheJqcs9Z/QD8VAkRmqlcw8V4 xmq/4T91ntjgUlfFM+oyPMSChvGNRA66OifzNN+5SRRAU3MUd7TXSTAjrXkuv5bmu4rDKxTzWVHM Z0UxnxWbSyF1Omc1D8MVYXNdxGolT6NBjXtfhPOFntt59RD0hoVAvjC6jbNgXKQI0vBHdMZC1kg5 7Ye96cx+8iBZONdH33F981lRzGdFMZ8VxXxWWIVHuKxVRPfEiOUgGaWhtJIuVDJzMTZPlJCzeWqF uwwfKT8ipRrtZqLSxEEr5kAWQAkNl85SyQbXD71fxeGlRjGfFcV8VhTzWbGJtiAWyo/IGS8XrH4u JZXPdQ+aY94vrK/ivKoyYi5XpUqzpA3TgypOViKsqoLx0klTSkSx64lvVtItrswyCmlQzGdFMZ8V xXxWrNjw5uY757qk/JgnGIghyonKBXvTUbGDAjEMuqnmCk9ScJ1YpKfV+VIXysHII91l2OBqH1fF 49Qo5rOimM+KYj4rtg/AoVdw7mQN1Ygb4RSeqzzi4ubQFyS1QFxonfNQuiyDnenMGiRzM5qDM0NK iJs4aMNZQjOpsyyGVZDZxU3lEjQKCVHMZ0UxnxXFfFZs1HWMGZMzKVPs6nnImbvkWKeMJIaP3k2p +yZbdMkmseFyKYpY4thtKwFz5kLmYLrIvZNxza7wCvcgw/gMHq7NPVkQ+nzu7CRqrW8+K4r5rCjm s6KYz4rtOdA0yLU5k6K5d+aA6MxBRIdoPWozVwEutDGKyQymH52xfMFdP2P1OJd4IdmtFIbikRUb HvWpyDzneBU3L8tQE67qi9R/kYWjP5dvTvFe33xWFPNZUcxnRTGfFZsrJsK/g5zdmc7oZ86tCNNF DFFOHYr5jpIkrDeygJM+n7NpuQJ9Aio3KXZ81c8oTR/3g2wMx2fQSidlT4SFk7FVdrd40g+SyCEe bepTl/BRSINiPiuK+awo5rPik/pYNca5fAiX6BmmrlLhSQSdjBVdF4o7mAbnlxR36368x0WK59Y9 g/5VOlkp+E6BJrce90sH2SiNko7aVl7G5eZSDtL5vBDSV7m0qVHMZ0UxnxXFfFZsYSarM9A5hMOk VfaHDZMEaLBasM2J13dnziQ5gZDXcp3n29TSocqECko/+abczykH2XmMMs+9VqhKXfKJJNSWlzY1 ivmsKOazopjPiu0S8MY4mEvec0Y7ORMLlYSQzYuEzI12sjRRc2FagQTK0TOKsUFseM6MJiWJw98P 41Tz95D4REmAdT8sxgZRkS6LBL2hvvmsKOazopjPimI+K7bf9lOqgo8A8K5fuk1dQyORU3NioXIG NQfnRg09ss4xLKsSnSObte6ifqGJUBbEe8705x4uy3WZGxj7Uf8xoM79JPyJw71D6pvPimI+K4r5 rCjms2JjmiWDyWj8obeUXZh+SuHgqpaIkBOT3tzYtWAnxHjmpgpTf2Vs+DSYLvNHziHvEe5G5mSj PIM/sXi0+TuTI2fhq28+K4r5rCjms6KYz4rtO+CerDgFWqYA66bQs8fLMLLf5ci6AnghwjJ1rtRI eMl7C+pLJuDTFvSfGxE+ctVpC+DQxuhmkSBKGebSlYn65rOimM+KYj4rivms2Jx57BoALoGWselM a6sVStAnCC1oLt129Q/5QKuay7QNu6ziqGBGQfjjzM18/4yirW8+K4r5rCjms6KYz4p/AAjLFvzh sFO3AAAAAElFTkSuQmCC " preserveAspectRatio="none" x="0" y="0" width="100%" height="100%"></image>
</g>
</svg></td>
<td><svg xmlns:xlink="http://www.w3.org/1999/xlink" xmlns="http://www.w3.org/2000/svg" width="505" height="355">
<g style="stroke-width:.025in; fill:yellow">
<image xlink:href=" AAAuIwAALiMBeKU/dgAAAAd0SU1FB98EHQoXGGM3tM4AABjnSURBVHic7Z1bb+XIdYU/6fBImu6e cc81dhAkcGA4j/kh+f8vQRIgsWNnbM+tp6fVuh3lYQq1yKVdNZQnT9l7PRB1yGJVkUuEFvatzv4F 4AzgsbcYnaOfY3v1FNzxCHDer54HV4f3Gs5GP6PO0b1nfQXD59gLmzx6YYa9w0fvLxr0MThEmHc5 D84VMqCYz4piPiuK+axYhrJsKO7mQiSSb0OZZ1eHem0o/Z6FoWQaarOfM+jPHmo+6Fzc7UB981lR zGdFMZ8VxXxWnP3Gfm9bw4PwLIkzN9XZvOcAB4Clt/TzuL2gtaj1/AXtlbU7hnoWhqbT+dudf7eP 0KTzY/CzvvmsKOazopjPimI+K5ZbmDgspbTOoQkqqarz7eFZwiYSi4IJtNP2wgngAeCiH7QC3Tb0 5s5Vmi1jjh0e4/nbjTRh9HJ+jgnztD2UwkuNYj4rivmsKOazYjlCbPsyfSVV9QBPtJ5kipTW3OAX YW54s/FsQfNQvWdF7kWj2CKjOXT1sa/KVJU6mzgeTrk30HAY/zc81DefFcV8VhTzWVHMZ8WyQKzw JE4seO5h22XpXcyMNvfczjWXzpkKMu34LE04V0s7THBDzSo1dw9w139GCk+O5sgkumNBOzB0V9uL LSREMZ8VxXxWFPNZsQCxCpKuM5liZrS73jmyS+1NDRWsS6SvLFQv+ut9vjwahtvZUGbRvO+tu/5T TmV7Jadtv8vtHKZj/29gajiarZALxXxWFPNZUcxnxTJ0REaCamgQkuwZ3rbDpPesg0xh0V/vszIe hp5R87ne94NUmlzEB4CXAK8APuqHi97lLcA3AF8B3PSJlFTyrE9xR20WU3MmPgsJUcxnRTGfFcV8 VizvYK1QhkYxmfR2pB+Y1U8/6efMRhYZAQ/bfup8gHUurSky9Yu0qCHyuZqkewC4hbX39RyaCe4V wGuAz7aH1wAv+nLvAb4F+APAvwH8F8D73mUoV2191oqew85FwZH1zWdFMZ8VxXxWFPNZsehfvtXV iHyGFoi2N7x/qCiG2bIWtaaWFUoZqhYTlRHsOUzSve8/H/tsrwB+AfApwBcAfwPwOcDHAB8CfNDv kG/2BHDd772AJht/t53XDHnDgLojNI151WejD6XDw/Y2PXl981lRzGdFMZ8VxXxWeKaFYDWII5+r EKXg7pWDNoDmkDiRXS8Sd1bI5RyaurkJnkNL0xy30CSdrHRHaGruE2ga7pf98AU0qfYhNJF13M5h gvmx97vsV7/phzfb553jCE1tvtjOKy0qV/LDtlW5tIViPiuK+awo5rNiMQ0XIZJv88puw/D+oW8x svpZPyWdRpY7VcY7gyZ7HmEd7GZTylR3DU0UXUFTc38L8HcAv+rnXsMTSSfvNfDEFhk9wqs+6N8D /CfA931BcgJH1tXzPvkH/XnZdjGn92PvZzKvvvmsKOazopjPimI+K36MwxtmvM7TIxjdMe9Hb82r JcvI9uNSe2dDZNx7hGYtuw3uOEGTftd9jk8A/hHgt9DU1+fQFJlcodKYQ0+wPaq9vwVaCsavoAXt /Q+sDYgGC6i77KPoYTRRpKklL3WuvvmsKOazopjPimI+K1ZxeIxac/ycenPKwzCrVXSH2bT0NxtV aZGmiSDf7AM0Z+w/AfwzwK+hRdVdbkce6t2hRXOo9S6gicovoFnkbqGZEm0zNhtZoXqRlzvKhpGk K4VXKOazopjPimI+K5YdlrtnVWd7lv3PJJ3B7o3SD+byUlLIgvFkfVugZUv8BuAfoAkvi6qLkhOG PutI15nj+hyaw/czaHbCN/1qJHp1m0m/aPKhY71yaQvFfFYU81lRzGeF2/CG1YN3iLZ5zWAplL1+ XS3I7GE7JGckbCJcwDoz9kOI92GLyrLMFV60IAsgvIJ1aZUvYb0PW6TmhoPO05oj1DefFcV8VhTz WVHMZ8Vy/Ok+Q5gw3KHXLHFAQXbD6DHzeM61XpTIqymtsxTUFbS81IttPyu8Z3OoFfmYZYwbxusd oYm7T6H5hBUYaEklQiSdDZq8FF7BUMxnRTGfFcV8VizSPkMtEIm2ocqYW7cILgxdnFb22LbMIPgZ zTHMzT1s++k5Tv2qqu8NM4E1VJRArBVonzNpvQO0nIvPoWlMZb7c9/HMPx2906HeHUYC1jefFcV8 VhTzWVHMZ8UyrAocxZFFF+YxfPOWTW66Tp5R2yNDnYcJqzae9hYz+5+yam/7ORN3ltNgo1gmcCTB rJ+VvXsBa1ft131VZ7BOvJhnw9ibnCvByrRIjWI+K4r5rCjms2KcacH2nOE0umMoByMzmnW2pNhI N8132pg7bU32aDOxH/rhHta6bphBO5wo+ilo9ZJ5l9C8tJ9A2+JCalOzRSZHG3nvHh6VaZEaxXxW FPNZUcxnxfICdsmyedbq3FEaqchh5J6F252Cg6aMxF2kZMyGZwNcA3wHrSTdK3iyKe484i2CTWTF XfRsCzTznVy1N9suD9vbIjE7j7nTgkxOFxKimM+KYj4rivms8Fxa+s+5bnoWdtw7FyeypZkNL5JR 5ro8QFNuj6M73gN8Cy0K7vV2VZElMFr4PFTPYulkwzsDeAlN4X3Y16KSKZGTWsPbRPZsksT6WV7a 1Cjms6KYz4piPitWRYHnOmxH8kQ01I47hqF6Fq9nWkotk1G6qoA6GfJsokO/8B3A2351+EkMZV5k kJSVbu5VvYK1q/aP0FSpDW/LGK5vuNzI313IhWI+K4r5rCjms2IxY9LPRiQwhpin75pHUfWL7V5L 0DDVdwEtsM32btVtj9C2hpWrVj5SGy/KJ7EniiILo5yQyFWruinRdmu6g2Ci6JUMUzDqm8+KYj4r ivmsKOazYvkeJtFyQy/tDufuMCmCPrxaplqk5nZ4eDWb1aU7g7VaMhueJe1eQ3OPvoe2k5kVT9kr V+c2S7Mx6g7b4sLsiSJlR0LFDm94ffNZUcxnRTGfFcV8ViwL7PcAmgFsnig7bNl4NrksbYftQe5W M8bZvDblBbR9X0+wNtCZX/cG4BtoWbXKzbjv40nmDROI7WFMpEaQ7tQWF78A+HMwngrlyfQnzN+G BtDSCglRzGdFMZ8VxXxWLNqi66/E3pxWYVinzbpYaWApqCgfdmhZPMBa4Z1tR9Zf/gmal/Y7aMLr 2Ft3vUtkzduRUBudk93xsc/2GtY749702dTvrq9KEX6R83muqeubz4piPiuK+awo5rNiMfVgeFaA 3rzM7hDzvA5gvTWsbHim5obJDmf93g/6Oek1k43fQys6/B6ah5feOfKRmr4yP7E0XPRYlvV7Bm2L i89gXTfFnvK2H7TJ2lzqapEKu6xvPiuK+awo5rOimM+K5Qf4qcA7pueGHsodwlBCJAq8M0Gln1FW 7Y45jtvxoi3ErqEpvLfQ5JZZ/WyLW1OWFuFnyxBME2r4D6ClW1jdFI1yB02BXkGTeZH/PPqqq1pK oZjPimI+K4r5rFgO08t7zXfzzjuC8cxvavYw28Rs7ogcTiRL4MO2n2TPLTSF9y20CnUKdou8tFFE ns5JuD4Gd0RmyAtoXtqPodVNsX3OTtAU3vu+PpPYQwOnUN98VhTzWVHMZ0UxnxWLbZWw1y0bGfzm GbnDVNOhGLMu0jmqBRwF3s1VnzI3HnpLq7qDFof3NTQf6VADa/Lo2YYazlrmyF2gZVp8Cs1Kp6xa jXcPTwx5mndehkbzFhKimM+KYj4rivmscIVn2HFuqOHmCs/UYbQlrdJFl+1VZdqaB9U01zAm0DI3 JPjOoOXSftVbV8EAFloXBeNZ+T51Hr5sXXgFLRjvJbToQIv/O0FToLfQPNAaJRpZvtny0qZGMZ8V xXxWFPNZsVjBjR01iOc5siatdoxnuk5WOvNzKm7u+QF/tpbIRCj37R00G9730LJbtYwdjtfDqJ8t 1xYk0+QVNFftRwB/6ldNpVmar4Z/HB1K4RWK+awo5rOimM+K5WF0ZS7kdvgCdxSJi/aRVecFmvtx 2d5hCiWK4SO4auuzfpJv2sTsO4BfBmvWKNY6h2ZQM+duVOYluqq6KR9BS7eQ+LRIwAdo/lpZIG2o 6ClL4aVGMZ8VxXxWFPNZsVjSwbAVld5Vlx2VVqJSHpEvVVawS3iyrazsXOos1TKc0nSsrUB3qDrg W2gFkG+gCc1IQNrP4dZqNi/BBTPkfQDNS7vAus6x7ojKtwjzwjX1zWdFMZ8VxXxWFPNZ4V7aCDt8 roZIBUVuXrsqf+2xH+TxtBC3yKU71C+WqjFcpFagLS6uoUXGmbPTMJRvbO9VZyuyF1XaM19vVJtF 91o/+rmoxkx981lRzGdFMZ8VxXxWLNp/NTLGPSuqTq25h3c4lDSNpVZYnWOzpUVpDza5XKZzr7QE 5C20kinfQ0tstTc0t15GdfPUetz2s4U/QFOWd9t7h2uea2rLGC4vbWoU81lRzGdFMZ8VP5rwhm7Z 6OewtMowP1RX57eZgU4/dU4/haHxzBIgLEPB7o36vYEWjHcHzW2siLfh/mUyFtr701UdTOGdYJ3N qx3U5uZPe176cwyzeeubz4piPiuK+awo5rNi2ZGIaraqoZ+TbZd5XJ9pPXNJStwt2wvy3EqmKA8j Wq4tKLLD6bBAM9+dw1ppvYMWFHeCFhRHX4s9m6nISNeZG1VGyrcAvwf4D4C/9Asya5qGs8fXWqIt h4f5xIU0KOazopjPimI+KxYrU0JvWSpEZL6zzoYdmtB0nVUZUTDeBawTL8zCd+w/5+Ju6Bk1Z+cR mg67gVY35Q20uikX/arGi4IZbTY5bY/bF3EP693SfgfwrwD/Ds1FbNZL3RsVC9SjWk1o26Wtvvms KOazopjPimI+K5aXwcmhpe35DtrhIXImmi3tEpqguoC1upEiO/bO8z/hSG4ZzDx2hHVlvD9DC8aT Aj31Lo/9gkx6VpdEK9C2sm+hmQi/BPgDwH9DK4B33Ye66Euz1yTla7LRYhajeoL1zWdFMZ8VxXxW FPNZsfwa1gqFoGVBYmqxvaqf8kvebQ+mMqKkgwPAC2jlQqy2nLl0JbeGLlitStXjTtvONoBJzjfQ 1NenfUFXvYu5YI/bV3LfD++gSbqvoXlf/wRNO34DzV5329dsktNi7hZob+iqv4ihxVWu7rLhFYr5 rCjms6KYz4rFgrUshMyMXcPE0agVbT8xzCNVtY8X0IqTWA26KB/Czg0XpOC5vRWeFeL2HuCP0LaL PQB8DE1f6f1pH7EbaCa4N9Aycr+CpuuUQfGur0oS+2I7nr0/Le0ltNcU7a8x9JDrS69vPiuK+awo 5rOimM+K5Xb72wxbZuyax+vpnA7328ND0EVK5ghNN0Uxd8OUWbYXIlEp32wUNji0fcns9TW03Id7 gC+gbTqhELwbaLkZ30HTdd/01ltoYvF++1iXvWWrj2Se7viwr88ewQ72lEJ981lRzGdFMZ8VxXxW LH+BWKrNtdQwv2Iu+BhdlYP2Ata+2ehPMzJs7YgEjK5quVa/jj659gz7Eppt7kto1sYDrLMlfuiH d9B8rjIbnsM6qk7Paw7fyI9Nv+NVXxXbzgR3MPpZ33xWFPNZUcxnRTGfFcvN9vcOK51hRzLGMJhM cyglNdrJYqjSgMkmYQYzhdm5qEKxOYHvoHlav+6jSB2aNqPfZnXpop07ZDC15doTXcLEckdwxzA5 pr75rCjms6KYz4piPiuWL+CJDDgPzllr7r5Vl3NYZzfc9Z8KPzNvpKqgWIBZhKGhcWhjHNr1bO8z W1pUzi4SgbLNCcOUiaENdHhh6M21VjSejVzffFYU81lRzGdFMZ8VP1ZLMbfdsGUKj37OWoI6S+G9 h+bEfL+9zWLu9iKyCdrVoc6xJ5ejVIm3UYJGlH07jxO0lWoiDRDJRjvH9hzbczbHsFVe2tQo5rOi mM+KYj4rlkNwMpIpJunmIW5SPIpkA1rQmX6aUUxzzB3DhqG9Thim22oimRdV4k5SyERgVLQlcnDP 13wLTeVGCRUqcaLhZU8cWgKHbtmy4RWAYj4vivmsKOazYrHgr8jaM7eR2TkzbNnIB1hv76raIqZf 5tih/yLtE/3UMq57637bT9GBlvZqdfN2LE06VlLyrp+zSEBt2qaqzyq399i7RHPYT9N18p8XEqKY z4piPiuK+axYLPzMMI9zs4M5LIfGPW01ZptwSeGZO3jo/2XbWRdMY5p1UILqPbTc15ugnyxtctVe wbqQy46UYz2CFYFWfKKeQ627/lMmveP2oDxcqwltCSTWKi9tahTzWVHMZ0UxnxW+o+owYA34KaVl 5qwoBSNSgrr3AdaCatl2mVvG5q5a04maSOGAWgbBwlXO+AStaN/QXCldZ0m2Vh0wCp47BQf65DbH MI1Wb+Ohr0+tsuGlRjGfFcV8VhTzWbFcPqf33GAVibFIeJmc0bl7aHJLu4Lt+NOMEnk1fCS3bqCJ O7PcaQA7KBVCUXr3ENsiZa9TyzJyo0hA21XNAv7Og9aO0L+h07a++awo5rOimM+KYj4rlmNv2r4P c3vdPMRtByzmTs7Ta2i66QyebF0WacdTcNV8pHKPStxpg4moyrDkpRVelmXsGpolUDGGutdMZuav FSILnyXZ2j7BSsEYBgFG+c72huqbz4piPiuK+awo5rNi5aWNrEKGYZ7mEJHDVxrJchrkCn3bu1zB k3gzySiJO2uZuFNig5I77vpVHcyoKJGlye1hrJAf29bQrDkstzcUmlYe2ayD0Rx6G5Kch96qbz4r ivmsKOazopjPiiVSHnPs6BKlPZjYiarM0S+8661rWBushsWY51rPHKWRCLRMVrV01bJSrLNFt823 mtXPYRryGawTKmw7C3U2u566zAtX1zefFcV8VhTzWVHMZ8USJcUONdyOxAv1G+ZrAGurlcFC5obG M61gqPX+yoJ6kXyLXs4w+VjJwhoqyuaNcpEP24MKpZhh0Hy4ljYsWTtEffNZUcxnRTGfFcV8ViyR j28H9obqRSpINjwTY+a6jIqJWByZJI7FpUUqzVZga7bEhvlj2VCWGaGWohxlZLMQQT2qLih9QwPY +swkagJSFwyVaVEo5rOimM+KYj4rlrlKizIx1XqWJjSYKNKg5kG1UDgTJ8ME0x2wkaO8hOgOtczD K8gLegHrMs9R4q35Te/6OSXtmgNZcxB0MZtg5JutaimpUcxnRTGfFcV8VixK29yLHbouSliwAaIE U6vOKzfl0g/AOsAsWtrwYaKyIhpUFer2lgaOPLdq6bEuYF0oWVejyig25Vy+zVfFtFXffFYU81lR zGdFMZ8Vi/yDbFtsz+1InrWrshTNHaCKGTMX7CU8iUGLio4Mq6XMW+fbw6EPZULTwuhsGafRVT2H 9hszQ+MR1mm+ltdr4+kNRYZVc99GTm87V998VhTzWVHMZ0UxnxWhlxb4qXxYw1D/Df2wJjpMIyl7 9AjrHbsUc2eDmsIz/aeSKVEBPMtBjZTRQ9DS8FEU3Flf+MX2gmSe1KtF5NlK5b7VJrayvdorNse1 3pUKzVhuRiEXivmsKOazopjPiuUzeCKPhhXWotbcnBVB8iOyyMnsJe+mrHnDrNpI7Gh4VTy+7Ydo a1h7LI182J6L0lQticFKnJjxzCILj/3qxXbNUUm/SKRGb8Nek4yUezcLKfy/RDGfFcV8VhTzWbFo f/sdwXiRk1ACSAPMUwMin6G5Go/Q5JFVPB6WLolg6sZUlQ6yjEXeTRvPbH3WZelrftFbcvNadWNJ P0uetcooehuyCV71g6ycw1IyVvZ42c5RyIViPiuK+awo5rNiOWx/R6a6HT93OHLttmHigDZwUIER 3RtlvA7jBKMixku/YI+gULhIfBqk9S57F8UOvgB42Z9jaCLUlDd9PMk3Y+a8r15yUKNIqA9NsRZP WN98VhTzWVHMZ0UxnxWLgrXkeYx2hYh8s/R+O3IpNPJw71sNYOF2O9TmUGNGUtI2QNNtcoDqbdht lqUh66BFDM5TcKP6JQ+w3udW9j89kbzNtr/GMBbRknGtAk0hIYr5rCjms6KYz4rlB3gShD/Pm9jr GY2sYBaNFsm3yBU6F5BzcRclmGpy2+Nr6V127FCr7cLM/6uMjMiKaObKx6CL7l22/U7wROHZKPMg SqG++awo5rOimM+KYj4rlt9CMxxd95aCxARLWLBUA5MuwxIdNt5QLA5NUpJROxCNchYcpJGiDyHq PNxGI5poaGO0F2YLHwYzRkkWUSt6DqG++awo5rOimM+KYj4rlrnSksowTXMD64odkRAxj6xgyoig izRXJAyHXsZ5MF4kgEzh7fUdRwX6bBk2gPl691pDIwtkZBOcy8bo2eqbz4piPiuK+awo5rNi+f32 tyxZctoCT/JcbbOuSFVFCk9+xCinQSsY1lyxfkNX8jwccKjhoqvAxFS3ozqM5oiWFhka7bb5oNEc EaKqNIWEKOazopjPimI+K5bopLSZVUGh/5z/xUTBeGZlkiksCnszF7EhEjE2x1DmMb0wR6TN9iIS lXZ1GJW4A8OlDY2F9c1nRTGfFcV8VhTzWfG/ZQSXA0wIRH8AAAAASUVORK5CYII= " preserveAspectRatio="none" x="0" y="0" width="100%" height="100%"></image>
</g>
</svg></td>
<td><svg xmlns:xlink="http://www.w3.org/1999/xlink" xmlns="http://www.w3.org/2000/svg" width="505" height="355">
<g style="stroke-width:.025in; fill:yellow">
<image xlink:href=" AAAuIwAALiMBeKU/dgAAAAd0SU1FB98EHQoXGGM3tM4AABnUSURBVHic7V3JciS5sXRWoUg2e5X6 zZPpXfUX+v9v0UGjUU/v3Kr4Dg2DJ5weULVpbhF+SMtMLImsYBrdPBZc/B0ATgDwAACP4xIAcDEO ewDYzYf93OUEAE/jQMi9CwA4zMMu5n67cfYwzq7HsN38tN1oaPOCOCkvuSBEl4QMC7vIGeb1ud9l N0bwzD2Nq3+aDzILO8tzTwBwBPovKb9aISHK8llRls+KsnxWNKEfQiHIBU7zuIu5nzS4e8Lw2I9/ fPJc4XpChdgQPtKxJZx5b83r1p2flmcyTM7Ws5zmESTHjgQ6Ys2z+uazoiyfFWX5rCjLZ0X7Mk4v gK72kBqQR4hyRzgdyQl5Igxy7JrXPY6z42jgfKEaJZOey9fWCMlYqF66VkdwHeFb878QwvWkQQhz ISHK8llRls+KsnxWtA9A/+ffgGf0TYgIGV4DOnWh+zbkFgRbT6Zf6Nh0LC10j14sW9dE6QyZ72Qa wjPnNwXwjCuvGWjo9F7Ln/Jw8QTXN58VZfmsKMtnRVk+K9oB2BKCB8DTI6EGR6DTPBJD4Rvi1w39 v5x+reExrCx0PwpE+/qvyd0ZMppbC38wvoJzXLuvMKS1jvmGfvYwErCQEGX5rCjLZ0VZPivaC+CZ 5EM24qQhenPZbz8Ou7lzKD9JaJ17hshPEoeHuUEOf7Ryd8ZYx9fEqbwDgDvgWUYLgG2eCOYzXpIY ipTo1Dy30mJ4hbJ8VpTls6IsnxVtDzwL5d+PM4blCaOQhsM4c/7aJ3NPOjtNixqe8BdHYoTcOT70 x6h07HeaD0w5PgDA5Ti0MeweAL4DwNdxSdWUvnJZhpBFob+8J1z5whyEMBcSoiyfFWX5rCjLZ0V7 nK8dtwgJGrkexj1hI86hKnwyLEkiuRQiEWJuEBVRZnFw+mQIdmHlEepwewC4Ajqlew0Ar8bhEugv eA8AnwHgAwB8BLqkxywS/ojOFGshT8raiGkF9c1nRVk+K8ryWVGWz4r2GXjmBQ39oUQYcyc0T1pd STrH8Eh2JIOWY2W5IcNbM7cwpUMWdAQ6ZWJg4AEAbgDgDQC8BYB3wJbcvRj9AAC3APD7GNaAzvVY 9W+dRiGOXJcEQpq3HwunO518vL75rCjLZ0VZPivK8lnRLsdpmBAaFg4WPJmDNLjabc6ZKL5P1jQm yObaaG1zF0lEkAYpCPw0TyoklSrdNdDZ3P8AwPtxeAl05sZsY3mjO6ArfHRrn4Cu5oWuZHmZZlqd ricxlZxFdNZCLpTls6IsnxVl+axo5E0hLZPLUEISOnicL8W1us6HlWGXplXSGahacS1rBy1luROw 5YnX45GkjdcA8GcA+F8A+AsA/AJ0+e7F6Mc1P45n8EH3o98R6BF530bD9/Fa8qryRnxp8XILOWY/ SeTFaCgkRFk+K8ryWVGWz4rmWNBPZZ6uWZ8bFnZxEqHLSwWwlducgzYMrSNRos91D3SW9hbopO1m HF4Bnc39AnS97i3QWR953cWYj2dCJek3fQN0l+4HAPgCdJrn7OGyjYXm8c3JcsOQPswjCrlQls+K snxWlOWzon0fp85bGro4MbeGYpyjg24jWsz3nHQVLlLSaNfro77GJNYboDO3vwDAn4BOwV6PhrfA NrSO2casfcIqMsL6xLX6OGa5Abpz93Ke1DEyvox4r3lvZzqHybP1zWdFWT4ryvJZUZbPihbmJTii 9FNV5twI10Ba5lgaRgM7O14XejdluRJ4dw10Svd/APDXcfka6CLbzeh3NR4ZlmDZm3eT1iugM7wX ZmZZrkwlNE9c08xKccVTxKD1zWdFWT4ryvJZUZbPiuZyWkNatsZa8JN7EvwfelUd4Qu7uPxfl2/K wLtXQE+Z+GWc0VV7DWyr25G+uXQGvgyXIYQP49410OU7ptuKf9X9nK4WDfmahD9ibqg4vAKAsnxe lOWzoiyfFc1pX2cIbz/fyi5SCwTmnuOdToNyjwyJpgSxsXTdG2DrgmXeBPuRgol8RxesMOTQ+Xwa k4qXVvJh1/M5jzZJ5cP8+mzgT1zffFaU5bOiLJ8VZfms2Oxp4UqX/IE4Iy3X7dNASKiZzOz2yAj1 PzK3K2DL5mQCynfcvpceXnZe7837NI8lzXsJ+OA+iTuU5OOQ4ErdvPvo9ctLmxpl+awoy2dFWT4r NrXV1pkWYW05wRmhekKP5OHytDCbY514u16fxK+5zXhJAqmvMT2W3lfWvuM9cjg57McsnI81kpmg IVu18UEuPlGoM/W/BnQ17zj349hCQpTls6IsnxVl+az4wfAc03KJmYIzMi1+qvO6Rh7TVEONUcoU hxkPBMvUkQoB2Mp3sgMYmZYUNnaVTFiNDqP1MEa8BDrD+zPQhTwAW07I9yAh5Rs5f63b603mc27y QhqU5bOiLJ8VZfmsaKFyt85QDTMjzugnLCgcFup6zkMpoWZn7EZ7BDq5uxtn1NcYeCduWVm9k8dk o1xSOhEBD0APAnw/zhrQax+LW5YKH98X86UIiFQCRa4shpcaZfmsKMtnRVk+K9r1fH1u9N0ZhZLD ysih9zUsj+eC0yTIjkxG8kilBAspzhHoyh1pXkiKXJaubAjGB4laJhuqMQuClZa599kVAHyaF0l2 6FIwMF+S4JLmOWW2vvmsKMtnRVk+K8ryWdHIPM5wxorjUFpDwS+8dAwlnA/AQvpba4I84yucgE63 7sZB+JB7X87C0DopdiKs9GHuQuIFoFO/t0Cv1/IaAH6b18JNMejwdQ5aIXJP8zD5xeubz4qyfFaU 5bOiLJ8VLcw3ddKaiFNhnmY4y09peO6ekDbZ3kEyWSUeTkQxXj4CneE9jEldbRb5IZiMQZosbymK Ib3I8h7cVePdmI8kEGOqMNs4pHnCbYn65rOiLJ8VZfmsKMtnRXsAtvxA6BaAZ7wO8wiMs3XQ3hkN 67i+9eZk4iOVsZLn6gLWboFO8+h9dVFrUpIk3GrM5TnID8YRB6DvpfEe6PWQ7+aVruvJnOG0FWZe 33xWlOWzoiyfFWX5rGgfgWcMbx3FL4QqzLkNZT5X3iPsJ5F2oXfYBZhJbJ5IepIAew8A34DO9YQF Oact7wmD4iKZbiE0T95jB/SSKe/H2Wfz5k/mIETOOWNDf3chIcryWVGWz4qyfFa0G+CZogRzKXCa kYwNfbiOpqyfRqK0jv9zCiQ9o20cxPF6BLpk9n2cMX7tCHRVTcCxwlRdJbsw8Za4BnrdlDcA8OsY IY7mkE86Ko4xVvhpffNZUZbPirJ8VpTls2KTaUH8FNc7g6+J4uXGhjOL5ubg9DA+kgkQDei5qhj9 WGTvEehJrJ/nBhfshvEy4kF1Dbu5IQw0bEAnd++ATvi+jwmE4UnyhBQBDL3mlWlRKMtnRVk+K8ry WdFYu2MdjLfGOoLuv5lePK0u2E2EQXka68hdzv0owZF4fQM6w2PiheRIcISjUTD35M2de5nz3QCd 4d2MFbAzafJxnsBlEbsfrBheoSyfFWX5rCjLZ0X7Ml+vCUvom13LRWeQu3V83Rn5FdLAVtHwyNLu R78GdN70FQA+AJ3rUQR0PuGwOJ28lkt7CJ2710AvnvIa6BpemP/7NNbHtxStz6EyLVKjLJ8VZfms KMtnRbscp2eoUcQ6g0Iu12F+Lk2VDeKhlKWFablu5kvgWQlhWdo9AHwEtkKeBPLBDJMFCfkE4IPn SCApDO6Avp3ZG6C7jb+b57Iynkv9ZWcZJgWaCwlRls+KsnxWlOWzognpcLm0Z2CtXwlceqxjS5Tg QhK4zvrlM0ieKOQ9zA+6AHoa7SegC3m3QKdbrsqIY1WuLIurm0ymJb9GA7qD9s04Y9bH07ikFnmY V8XMXadtOmJdyIWyfFaU5bOiLJ8VTQiQy86UM8z3wvoqAqdfiTYnDeski/UEwq8ugE6FMO7JzORm dNV+AbrfVB7kwvIwd6FkFvqsQ7J4BXSG9wrYlurDPAJAJ3x02sqmHTAPx/zwQi6U5bOiLJ8VZfms 0H1piTWlcxB2E6bWOseraG77+SBaX6gOyjNcdgMTLzgzLxvQxb0PQPfXvplXxZk5QvI1XELF+qeT hV8DPQ6PlfGY9SFblwmL3M9duLWa0Lz65rOiLJ8VZfmsKMtnRXNCD4mD6HrO+ec4TchzwrxPnu2j g2N4Z2iHoTBI0sZJGar3GegM7xeg63/HeYQQQ/fcsFCKVKgTgfMS6A7am3EpBfV44N63nJQH+Q2I +uazoiyfFWX5rCjLZ0X7bG7+fESeS7LdzWdSpk50JBd4JxqeY4yC0AH6ZFo5PSc9AJ0t3QLA70DP qn0xOjNVQ6qWMMJPlrYmd7Lw/VjG9TgcRqt4X5lBKzz2aBpcfGIhIcryWVGWz4qyfFb88NL+fGqF g7AHIR3s4rijkEAqY9z8FWOsUwIxdxE25zim1FKhO/NyXH4CeljeO2BbpoSLJM3DuCcuYtHSXEW+ kHyKeikeWc7yCGw90JIY4mheffNZUZbPirJ8VpTls6K9WzY7x6s0EGFaxhnDJI6MPIfbSjzNDZJf 6zgNgG0OgvMYO4ZHyewb0IW890AX1IRpyVsKA3UOVcbSPY57woFPo5UHqb7MzvKzy1u62EHMjyzk Qlk+K8ryWVGWzwoXQfYDIaULC5aESuAZf16kH/R4HsbZbm6QzcSE55xMq3OeShyehNbtgO1OZh+B XjeFGbki0MkPJqkkdMsyLYObzrLLHdBlw69Az+b9BnSGRxrKd3OxiKJeihO4Mi1SoyyfFWX5rCjL Z0UTv6l4UF0A3BkJoZhnCUmgKHfkJdxC9jB3IesLHb6cJcz/wOgiQXFkUK5G3qt5aYSodC41xRVU oVf1HujJHb8BwL8A4J8A8G+gcz1WwVvnjkglGJJK8c3WN58VZfmsKMtnRVk+K5ozvRA+wZoTupCv 8CABdSRyl8C2lC8TTK9GF9GluAJhWvIKzlVLiMuU9OgW6EyL5O4qeoUwi8QFz7H63m/j7FcA+Me4 vJtf1eWiuNIv4hiW16pvPivK8llRls+KsnxWtJfjNCw1QkJwMmdCF4TYnDGzZEbQQeuctpT0RJcK FUP3jHW+gThUH4Aust2OA33HXCnGJbeakO0njkDna1+ALZv7DdgWaPl9nN2OlYrPmgyPbBjzG7nc DGeyQi6U5bOiLJ8VZfmsaH8DnoV3MTiP6aKkKc7pKIKfCzqTw3E+8BnMr5BLSnqiw0monoh24oKl xIUxjJAEDTK82/lAPzFfQZyiR6ATwyPQY+k+Ad3x+ivQnbGfxqR3YwTPqF4KNW1Ar+FyM97DZdqu wxALCVGWz4qyfFaU5bPih4bnZC/hDMKMJMDMqWUcIbyO2a1kRvQyMpeC8piUTCG9lCooAheCR5rn 6ojIWJK7r8Cz4nRMbBXeSdXvK7Dd55Z+2C+jiyiLGGdSKEVSdV8AfdsLKennHOuSm4ExSyEhyvJZ UZbPirJ8VrTfAc/rwh3sHYUIg93CSiGifTGYjM7YNh8Eklrrci7cIkVZDD28DJT7NjfQ08pSgidg q/B9BjqH+zhf3o0J6OEljyVPfBxPk19tD3Ry925cupLOLgIR87365rOiLJ8VZfmsKMtnRfsVWKSk OqxplPRzxUSEZVCgc+SOkhkRVp6D6SeXJ3PPeXjJBFmN7hboVE02E3sEOn37BnTl7tu4dz8m3QOd GPIF1+WRqXfuxtiX80vLmskJ3a5lpeEVyvJZUZbPirJ8VrTbqOXcXNo1hFGEep3kEbDVpalezP2o O8pzxYuMMYFIk1TzpDgdxbPvQCd3/x5LE+HtBGwdrw/z+/LdJFsirPXCRZIOXo9+Lj2Wy5WfSRzS mMcWcqEsnxVl+awoy2dF+yvgM2NdPRSJvhMiQoQpuC6dFfMlmZtrDWuzSMCfo34cxn7CgsKQPu4y 4RgUxiOPQCdjTKh1GShhUUGhapiXJrkUXMvJjJC6fvIj1jefFWX5rCjLZ0VZPivaDeArnpA38R77 HeezUPBzLkQ5iNOW5O40X2Luty6PwrGM0pNh4skUhifMiMKbZAdzpc5lKgwU85n8JLJN2WkeK1z0 OM/CmfdzP3kP8W0XEqIsnxVl+awoy2eFVjx2qQZSfs7dI1w9vLDycKjSMa1AZiEkwo+dXQyaVH0R micjMPcTykTCJyonNTwG6F0C3V/Lp4UpJ2wlD3MJtWTXofIpVhUDnEyXQhqU5bOiLJ8VZfms2GSp ihfU+WZFOBKWtpb++Ix1hRK3w5ZL0GCDMDcyrXDPWOe1dBkKLuqPiSHiBeXPxPSIu3HJM3mQ/KbO 9cv1sYKyHOSnEziVs775rCjLZ0VZPivK8lnRRDMSPUyomnAfcbISbjtWDpODU63WCaZOkhLVT2ge k2LFC+q0PiGQIpS5l4EZcZzPuFLHNnkmzPcEdBGQ0qmT78LYRuc2Lg0vNcryWVGWz4qyfFY0oUfC QRjK73Jaz4Ar0ebqpjjCQvYl0XJOfSOcr9Ilzz6Mg2RQyPuS5RIiTUp8IjMt9uMZO6Bn2u7GPWGC Mp8jwg4ukYOdhWhKEGUhIcryWVGWz4qyfFa0F4Dfb/Y438N8BsBTNcL5YWUW5xPGePjTfImxoLWX UbIqxMkqh3XGiBMLAXROSA/qbu4siRKyJ5z4k4WMidooBVAwxrqXljU7+c65ugu5UJbPirJ8VpTl s6Jdz9fCN+TMpT2cWwHEZdCKu1DusUFWQIJGDifBeG5Sli6Ww/04E0XzCdjuQetYGlclORePQK+W wkwL7lVB7VAq6Els3gXQ8zWkCLRU1WPnMGoSc7/65rOiLJ8VZfmsKMtnRQtlNNnLVLQqYu19BeBd vy5/VbJWyeEe58470znM4XDVSO6ATqh4dj/3o3rJXTUc1+NvwKeRX5Hrib/2bvTjjhfC63bjkbwn Kqer8CLuZadKYu5XyIWyfFaU5bOiLJ8VTbZodcWJMc5cnoMjVBIL5uYjl5JkB9K3w2gQX6UkncoK wrg0SWKVdAuR5ZznVoo7Oz4ZluqTpJIwX5e8rgHAFdA1vEvg2V4aYWVBWYFbVX3zWVGWz4qyfFaU 5bOifQe2kWJhzJjIRQC8849jhXkcxiX9ksx4kPK+EuLG4DTHaYQ7OsEqPHNeX3kuz+S1CKmlwnp4 bXRmpsXTOBPKyYdTLJRdemWlQkPd9h28dGMLCVGWz4qyfFaU5bOiXY1TF53v8jlFN5MsiDApljTv bgwTQY1BbKwoTI7khDcpFywilvPhYj4TVU2kOtE2wyxiEdR241X5MqRqmF/rfn4FvpawNOeRFTgx U0zhkoULuVCWz4qyfFaU5bOiheXTMF+KbibEQXy91IzYj60UC50s5zI3hNhwBVS3nErneJ0QIFn4 09zPvYw8w/1gDOR7BLb+1auxXBLSh3HpUj+EXQvlFALuiKusmV96ffNZUZbPirJ8VpTls6LdAz7T IpS9HN+g4iXykzAjSVgQ1cpJcHQbUxQLUzVk4eFBVhqGs2G+PJl78qsB2KbMSoYHuZ4jkLu5yy2w rZsXBkLKcl3MolNm65vPirJ8VpTls6IsnxXtA/As/9IdQpYh5XOFc7l8CKmCIvVBMGaWxAsJlAsZ 2YWZQBbONTPZlbQsLP0iL+1WSgorNU1kWBizuAc6zZN3EyvI+2J+D6mqR53QlbAu5EJZPivK8llR ls+KHxWPxUHr9DoR48JSyKKRSQEPjqWGJ5yL3EcSDHgWKlkkSmGmrTiLH+Z7Lm9WQg7lpYXrMb9i D3S3rJRW4VpYPEXIJ9+cT3PVYQjhrHzQAQBezMMq0yI1yvJZUZbPirJ8VrT349RVFJFQOKkjLGe8 FLFLKI74dYWWiQpGKYxCnvy5OkkvTLJgPwpbEh0o99zT5FU5M2vfcZbL0cXVjpbtMUQSlQoqsirJ Y3H6qTBBkRwLCVGWz4qyfFaU5bOC2Z0bMkG+4UqSiOAXcj2XmxFCmMdhPuzmg6s3LHTmjErBojGK ckdWxWHi5xRP69rxuge2ebOcQNI85McWMZMHJ+RhNLgc3sPcWt98VpTls6IsnxVl+azYMDyXVUvm gf98JgWBQ3FPWJVIYaLhiWAlXkY3VrgZxj2M+WTrCqFlGBNI1qqsT+AKtIgGSnGPkOmFWLO+nqNq rqCK8DqmtUiycH3zWVGWz4qyfFaU5bOikQGEKaROm3PUSlrF4Rtu9MUJRKUT5c7BFUARfiV80pEi d88lAUuDy3hwOSvuFdxPJ60UM7kvrUvfYGcJV3wCnhUfrEyLQlk+K8ryWVGWz4omAXDCeFxaKQu9 IRrr7oW19Pggl1Yg88kyXPEPkeVkFtZIaeM9DvMEFM/4gkKj3Afj5Du3Nazk+l6YexhjpW6y0DeZ 1GXVsuSgM2MhIcryWVGWz4qyfFa0m3Eq8WFEGEsn21lIbJnIRdy1THyfIo+FcCkOErXGVknulbwO V+eYI0RzI/sKFTQ+Q0IYOSIsThfWUhZK5wq+uBg+KZnisi9Kw0uNsnxWlOWzoiyfFT+qpQg1cGpP yKVCX6WkTIjeRCnMlUwRPWzteJX4PyGLormxHymn6GZOfaPqJ+uT9FjmzT7My2AXp0pKvKNLG5YS MY6Ps8GRO6nXXN98VpTls6IsnxVl+axo5BaUmmSDCZGfwjA1CcYTlnEY9y6ArcrECVwiqnh4uaAw pcOtnrXluD/Y4zw9mZGL3BNeJxulOZEN8wjxljotbS0lPs1dpDCMy3yWYc6MhYQoy2dFWT4ryvJZ 8SPcbJ2hSpBzhUkWALYa1AEArscI4Uj7eRj5n8ThCefiBKd5ApebEVYKZiIC+Ro1PPk1OJV4ZEXC lMSVkPDxUn41mEWGhWbCLA0HsWp981lRls+KsnxWlOWz4v8BL3iXhTP+oacAAAAASUVORK5CYII= " preserveAspectRatio="none" x="0" y="0" width="100%" height="100%"></image>
</g>
</svg></td>
</tr>
<tr>
<td align="center">
        (
      1)
    </td>
<td align="center">
        (
      2)
    </td>
<td align="center">
        (
      3)
    </td>
</tr>
</table>
<div style="margin-bottom:30px;text-align:center;" class="caption">
(1) Sigma = 0.0. (2) Sigma = 1.0. (3) Sigma = 10.0.
</div>
</div>
<p><a href="#Theta"><i><code><span data-if="hdevelop" style="display:inline">Theta</span><span data-if="c" style="display:none">Theta</span><span data-if="cpp" style="display:none">Theta</span><span data-if="com" style="display:none">Theta</span><span data-if="dotnet" style="display:none">theta</span><span data-if="python" style="display:none">theta</span></code></i></a> controls the step size during the iterative smoothing
process. Larger values lead to a stronger smoothing.
</p>
<div style="text-align:center;" class="figure">
<table style="margin-left:auto;margin-right:auto">
<tr>
<td><svg xmlns:xlink="http://www.w3.org/1999/xlink" xmlns="http://www.w3.org/2000/svg" width="505" height="355">
<g style="stroke-width:.025in; fill:yellow">
<image xlink:href=" AAAuIwAALiMBeKU/dgAAAAd0SU1FB98EHQoXGGM3tM4AAB2uSURBVHic7Z1Jjx1XcoW/Vy9rIClK akmW1FIP6LZXXnrjv+HfbhgGDKM99Si1BlIUyRpfecGLOHlPRT6UehtxFg853CkzKlEHJ4a7+xeA O4Bd/Ah27X6+ew9wiJ/7rQFIru3m8e7n0+NrOUn6Mt+1AWyoQ1w7JOuzJifz0X0cGeyJBFtp1s6W e5hv2IvN5lA3m0M2Ut8F8kdoVEBbvira8lXRlq+K5ToOd/MP8w3BCMshuZuxEeMvWZOMCu2Sa5sU R8PbX3RGTe+TG9ky7mI8I4YZez0+1CayoTISuHlt84lkI924hf7m66ItXxVt+apoy1fF7reQi127 5Mea/K1zzqNklEQ4gSE6LXNf3TgHOH3k0jIKuzn5Y7GpVG4OnzHfzfd8XOrcnA0YbO4GBlO9imv9 zVdFW74q2vJV0ZaviuUeYA/j/74YgLyR4len86l5LeXOPC4r7WJK9TjMjeX6JY4yrgcM6qIFmWvV 8JOEt6zHI+Q20zEzT/AjOLUG1XvOtEM9ryZXY3PAnwCczT0atdCWr4q2fFW05atieQqDBtzBIF53 sOZcB4C3ANcwuNQZwFNYE4d93LiJ8e/iyCSpfQx1GiOLWYqSaC2aSH+um2TnEbQsw3F5cfNaNoqR rAOM93ITd/cAFzDe2nGtVM9m73RTlbQYPuPU/c1XRVu+KtryVdGWr4pFlOkEBt06h7WMJhlIrO9t 3HgSRycwRECinY4yZcykv6zb3Xx6gMEE9/NQmwGEm5P/ja7azahEe2F3sdIdDAp7HTcWGI9wE0em wx1XIG9hTQyPLzJL5Ohvvira8lXRlq+KtnxVLBbUZVQDWHOkOxiUZDef7uef45kWWY5nxpvu5sbm lrWs0Mcm7R53smbU73iWhgl0CnvTa7oA+ADgOYw39BLg+1i9PeXmImWjzfds2CS9/c1XRVu+Ktry VdGWr4pFKpOwmZMJDG5hMXI60nhZ8udmpgDJtcfmemTpttnpYyPosmWIzUmbk1NZPuYFBpH7FOBX AL8A+AjGq3sB8J8A/wrwGh4ku24+26a4R9JOA8jLLeWzv/mqaMtXRVu+KtryVbG8mM/FHkyWU7kQ tcui1owKWSU2eYKtnQ2qKffRwziXrc9WoNMsEeE4LNdDAt0dDDZ3E4M+AfgC4OcAnwN8Fj8fw3B6 S6p7G92+AvjveeGP0NeyJ5J3OHt8osmmUNsog7Z8VbTlq6ItXxXvMi0MpgDJC7rMR2psNE8Zr0Zd Mh/kfr5h+t8hmjyDwYzUwzI8zuP0DoY89np+ogxGTW9j3hN4kGPyAQz69iuAX8fpe7GMMxisVNC1 ZzHRFwB/iCZ6VCF7sc/n2bI4xjuAy1i4kW2iW6Mg2vJV0ZavirZ8VSzSljKSlYVtZSJRFsrPVo/j qbCZMLiDQe6yZZzAyOtdYJ0TfAHwZh5FsOA5USFF0J0D/AwGGfstwG8AvgT4u5hXrlBpadcxr9KG D3H0SYzyFODH+dkEW/hJPJb4sxJhpLOqm5S7+3hU5cU0CqItXxVt+apoy1fFsllhzRJRbyAPF9uM ltvUze62moh5ZK5fYB3mZ3U/JCoqCURanz3lDQzqdwMj/3cPQxn7NcAv4+gLGO7W92DwqyewzmQ1 l7OKzkmWO4nZlH3xBcCHAD9EYysMYxBD3qw2KGvJaSvLXMcc/c1XRVu+KtryVdGWr4rl7U9p/dha cI9tbD10auFiWdEWCwzUlOJIm5mxb2HtjP0FDIHu72FNvOQTlg53FkdWJ1AuU9FQubXfJM/2CQwl 8I+xvuPsy2i3fm7n00wD3c9N+puvirZ8VbTlq6ItXxWL/u9vFgnZTDDN0lTNSQg8Ps8hE6c2A/nE 9e7nI1uQLVeNb2BIdf8M8E8wAuqWpK9SRGyHWnl472H4dW0Flm2i4d+HkXN7FqNkk9sjaCgdZQ+o ya3oYWdalEZbvira8lXRlq+KZZNziS5slj1ROyEr72bYLGKyWZduMzrQ3KPWJNtQw/JwfwYjtE7l TMxReho3zHkqT7ByfVWM2ZamkZWHewZDw3sGQw40pnrcJS7/tDimvXtz5GoZ/c1XRVu+KtryVdGW r4oly3gF1lTouOPV2IglQGx6SzdHETI6kzVRAqyGOt5DO0qoiN0ORkTeDgb7smVIBVOwm8jdefyo Rp62b9t8xR/BSND9Bh5UaTlJetjObcztNqtIE8vtTIvSaMtXRVu+KtryVbGIkhyS25t73mcs47hf N0MWVma4Txqb51HK2OncYxOq5vIDjA0mbmMApcI+iZ/bmE3he5rXgvZ2MGqVvIVBG7X7xiHunkTf jwD+J/pKyMse36xlkuh+bmxk8Sxu9DdfFW35qmjLV0VbviqWLFpOyHypWZNNn2vGRjZlPg1goXXK tDBv6cncQ3Fum7RR0uQpjDIlXwP8Q/QVHzqPa8CalqkKynMY5M4I1SHm0Hiieecw+N+HMKolP4lr Wf4vMYdehL0Sc2GbrJkVn24URFu+KtryVdGWr4rl5XxuYftZYL4FmB1PXSUZL9uOQfFrlhUgsiNV 7d3K40iNxaCM4tgDagVXMBjea1hX1ZN8J+1rHz00kVQ/bUkrTzDzKJbO+iQa/xJGTODreeGikpne aQLsAQZntXwXvQ2ZrL/5qmjLV0Vbvira8lWxnB29nZE2i2TLGmd5n5mWRoxiO0CoiUjR7XxDEHmS fPeIeRcYfO1bGK7aj2HQvPeiyaYrWeRTUAE8cyWrPJ6oriTHz+PnT9HE6uuJVBJziK4e5h7KO9lM vOhvvira8lXRlq+KtnxVrHYt29ThHpEoAeR/RZvhYpupEGJQxlpMkTP3sgmNWRqthteq9gCvYNC8 X8Fgm6cx5RWsUyZ2MPTEp/O8khxVatgImu2HpirSz2EwvAtY1+u7iqGexWzmjL2Zrz2L9V3xEJup Go0yaMtXRVu+KtryVeFxeLYNRJbFKYegumWckLlHJrxlBdykbmlK+Ra179cuaaeCdXJJZhkKNtQ1 wF9hnUsr37GkRL0SfTBy32q7iN08iil34n8qU3wBo27KcxieVlPksuE3X5g26H0d1yy4r7/5qmjL V0Vbvira8lVhBXa3pbqsrDBxLUuU2Bx0032bBc9Z8Y9MaLTkCeOiKopyCYPDncWPHutbGHxIUX/K zdXIgkLwTG0UTNfTU15FN9Vm+QRGVu1XsXD5ZuUXt/wUMUab1/JO7LX3N18VbfmqaMtXRVu+KhbJ VEbfsoodwnFK94gm5mqU2GVqlMXNKfTPNrG1Lc50bYH19rOXsK6MIuFSdVNu4toe1hF0YmkS427j h3kZxMPII3sSy7DIuFMYQYCfA/xXrNRyPSyVxAo0W1aKTKu1dBxeoy1fFW35qmjLV8WiYC0JQtnO Y7Ytgn4yL616qKKweImOxJFsSwrFqp3GAKI4Usus8IqxUjlAr2O5elTLGHkL8H00PoulKWHVivEx H72NxpbwIf1P5VYsMeQORtnjL2HE0qmxPMHm285CE82JLqhH59KWRlu+KtryVdGWr4pFG6lKTDpe eThDVo4NyFmVxrMivGJQ6qbTi3l4cxuLKNldFSwWzTOXrqSw72BQq/fi7ksY4XGa3DIoiKObuKuH zjQ3Fd4j1ncCY5vaD2MtlsNBDJW9SQtmNJpnoX/9zVdFW74q2vJV0ZavikX0I6NlWa0NeSg34+s2 k3GN/1mPbJ8uTXmcfG7uxLWDQdCAobRlPtIDjI3DXsBIexC/0pYZmuNmXlAWpHge3YyRyW38Ftbb yr4P6y0umPtK9JSyaNUGrZaevMMW0djffFW05auiLV8VbfmqWCwDAFgLPUbGLB1T3YxWMDfZLIqS OYGtyeZ45mqUc1L81KS6Uxj07fW8AglqL2AUQP5t3DWJ0GIHVdhEKh0wJEeTMNXuDnLB730YQt45 rDMyVG7lDaz3SDMdU4nGxBzAAyv0N18VbfmqaMtXRVu+KpZX8/lPkuWAvBawtTueoJsNapVbzH1r IWmW2LCbGzN3+yiuvZnvnsDga1/HkVy1SoBVooStZTOT4RbWhE8JHwrGs8i9n8Pgel/Fwwgvo8fz GMUMINHzar52nHY3KqAtXxVt+apoy1fF4uVSIC9Jcjw2T39AGaUz4mV9M/etdSP6GkOxMDX9iPYA DwrbPY9rcu5KVfsaBo36Wdw1d7WpnMrXMMFPHPM62klVO8DIqpBUdwejbsrHMKr0WR2+exhRevcw EjSYJ7f8WnN6t5e2NNryVdGWr4q2fFWk9fAyXrfpMs3akbQ7XlAlI3xZyRQtwxS+3XzNCpuI9kgy 064VlqH61/j5FEYmiEZ5Gn2z1AVNZCvYw5ANLXhOHPMGBhN8BoPmaZHW7R7GZhzn8CDQUBKmxfAx L7dREG35qmjLV0VbvipWe1pkyp1hU6AziStD5kfUoBnD28wjNbKjEDyryJIVDtmM61Oo3iuAP8DY xOx9WDtUlZahkW0FWT5xtnAxPFvLOcBnMPjki3k2y6q4jEXuYBDS6/l5M096f/NV0ZavirZ8VbTl q2J5snUnS7J9rPtWNzJxz/yrm5CzU5Nne6mpsbFDiWzyWlpfBcDtYeQv/AjwJxjU6mk00VYY2lFW VFJV+oyVZnnC2mlDC7+Y230OI2xQDC9T3+RtlrPYKrdIqTQO3CiItnxVtOWroi1fFUtWG1c0YFOR I5pskkCrQWw3rCILyamWZlF1Yig2nu0oAaxD8Mylq2J82oP2DAbT+h7GPhefzWtRzT1lsqoksSqU aA6rqmKQL1XC2zMYtY8/B/j9/OSGQ8xhFWOuYtCsQHN/81XRlq+KtnxVtOWrYlFSp2VBbEpwGY5z LnMwSlXThhXS6yRiLTBUNRV/E0wjy3Jasxi0k6SxYYERzvZjLEg63HWcXsYjXMTRaYyi7czu5gEy v+ldjCx8DIPm/Rust8w1SEDU3Wt4UGlF6EyL0mjLV0Vbvira8lWxyqW1wHxhk1pld9VEhG8/3z2d 26mJ2Jz8jVnRYcFUqyzmTgOI7NiqFL+2h0GPbmAk1N7FXcsJts3YzBkrl65paRbDt1m/5BRG4eXn MKIDjQPrKY2Py/8r/mze6/7mq6ItXxVt+apoy1fFolobWRqFiU4kR1mqxmatOqvnYcOfzn1tIu3O cJLc0GaylmR7ktzI0jJUGfkchob3TRw9mwcQRdzHCuyacdGT+YZYHzBi/W5gpNuqfMszGGX5iIVn W3/oeY3NZVXwmuGVRlu+KtryVdGWr4plswCKXct8i1aITpC0ZoXZssbaD0PxcIpzYx7qFobWZwNc wuBmkv4s/UDMyETFfTSW7LWDwfC+gfUmZvYI4lxvYVA187nalNLhLPlEmuABBgm8hQf7tZlqKiJn L8yeUm/DRMBGLbTlq6ItXxVt+ap456TNKs+Zx/N4GRUhq7prdNBIpf3xZRV7TYM6nZtoZJtSR1b2 TjgkRxLjXgL8BcYmZk9hMDdLbDX6prXcwnoPWhMumR/Gqvm9AvhzHN1GE3t/++TnDAbplSZoL6y/ +apoy1dFW74q2vJVsUiwMt+nWIGQBfobD8ucsbv5lLmJ+IbqzSkFQyTmAgbJEguSc/cibmh4rdlC 8MxPbLtlqDLeGxi1j9/A2D3Cqq9IeDN5TONpXuX1moNbORzidf8B8O8Af9xaqaWNmOf2Caz1xPuk b6Mg2vJV0ZavirZ8VSzP4jDzpW5m0FoVFFGcTQZ1n9y1FFfxOrGWBYb3VTu72lDP5h7EDZOutIy7 5IbRMuVIqG7Kp/Pw4mt68k21UdIasGZz38LYKO0vMOrw/TluKINW9NdI+dl8zaq5XMTpYT7qb74q 2vJV0ZavirZ8VSxfwlooO4XBGZQpYHrYTfyYknUao9zP7UQ6RKjewPAjEjfOYQhlT6KH+hpNWWKl SgfONtnV6jWUjjYrKCu/9hUMCvZlLFL8StvZ2ua0b+NHPPYGxo6yvwf4Pxi87jsYbE7O2It5papk LKnuAsZ2FpZVode+g/E6VfqvMy1Koy1fFW35qmjLV8XyHNaeR+BBBoCkoaz0miWYmkZmxY6BwZGU HqFuWe07/WlmGqOl71pugTicitNlhfJU2ESkTZTpCgYP+x7gQ1jriRrl1fz4lzBI2/cAX8Fwt/45 rl3FAOLU78XIV7CmuvZEFzDyP85jSpNET+KhxfXMOd4oiLZ8VbTlq6ItXxXLm/lc4WJXsJaLjELs 5sb3sFbkMueurqkcr8XmZaWLiVMRqtu5hy1IPbRmq0Fn+0h8MA8v9VI5rV/DIGhWD0+y5isYzO1b GLLcd3H6MmZb4uf9OLKAOjEy1Vc2Re4zWLNhq2gjy6iQizmu+5uvirZ8VbTlq6ItXxXLX+FIoZQs deGnN2Fuoq1Ss8K8FtOWJcCqG/CgAN6m99WKnVhImgX3yWd9D4Oq/S8MziXP6CUM+qbSKi9huKFF 0CQRPoV1XWfLkVCEny3oDAa5+zB6WGjdZkWbLPu2v/mqaMtXRVu+KtryVbFYKNwmactEoox9bSpK m00scMzqEltGrpGxjCPZHNbNNpglrmXbY0g8uwb4HQx/rdZ8FT/GOzW81nIGg9ypvrIoHbECyyLe w3Dfymkrrqw5TA21TGVLhO5vvira8lXRlq+KtnxVLJ/N53IXms5llMlIYHbXeJ2VBrmCdbqFERbm xhpPopiyEUS3zGmr9WXVXCwBwjhSlpb7LaxLl5zBUOSUY6I1qwSfaYfik6aliYtexwCSEpWWa4Kf zKOd0c5iPK1qP3frb74q2vJV0ZavirZ8VSzaH0Lkzhjeu4bxI4ZicW5EX0WyZXeBwfDEzZTrcQdD 5yKubYbbqRCJeS0ths/K8gk7GETzWTygbStxHU2IpYmM3cIgmsTDaN5dcqTNLgSxr0sYKbjazkIP bQVp7GH02k/mH8uB6YrHpdGWr4q2fFW05atiMQph7MGIklWyEy0zv6ni10yrWuZ21zBKzTH32FQM 1Y5YgfUgeojJnMIgT9fzDbEqS/2wtGGryLzAms1ZtJweejMyTuql5bke5mtnMMgn8wD2cjJ/rYi6 oL79zVdFW74q2vJV0ZavisVcfhbeL2QuxMx9axzJAsIs2fUM1rpexvCIobQMK3ayT+4aC3r3rPMT ncA6ls7C6ETpFhhkbIERCmf0zXjxPsaTSKnn2MGgtYqBNLlNAqKq4Clv9na+oZFFSG9ieLHrLNu4 URBt+apoy1dFW74qlpv53OLwgAfsQQJTloJ7D+ugOOM+xh1Fxphv6K6oZLZrRRbstsQitXprpxtK lLAnF/k0h/QtDLqVbcGmhQPrwtDE0uSHtSIwyie+hTWT1rUn86NaMkaWcqz9cO3t9jdfFW35qmjL V0VbvireMTzjSIJYwdV8Q9zMMl5FxozxZPuqmjbHvAwjMZY4oNpylqtA3LDMDRVjEVO1nAZRRNMT tdJLGAxPj6/oNkuPtd08lDF8C+t8COYetqXb9zBKsFjucIbMMXyftOtvvira8lXRlq+KtnxVLBew jlUTGWM+tRJtu6QxcWpkRwTDcjiu4QEPywq4WeCYFV6WqKhrGV0VD7MUETEyI67EDZvtDaxpHjGK aOPV3E1NspIuxpUl/ck7zDzoY5FNybzwRi205auiLV8VbfmqWJ7Cgzq42muVuJaF9xvxsnA7i4Iz V60yVMWgFEKmrFCbTUTTmKBYn4LnTDs0T6tVS8li3/bzj4ZS0oZR3WyrNnt/8hgfYpTME6zUD6UX fxpHxADMsxHdrJaKtetvvira8lXRlq+KtnxVLObAMx4G5I5XS9DIYuQEYx4HGIFoqkGyh0F2XsJ6 u9hsUBFSSz+1RAQF8sk9SlwTQdNTEo3FgpQ8Kw+vhSaak5povPnWrmMiVUbJWJpiAj+IQa18n4mo gpFj43r9zVdFW74q2vJV0ZavikUMwHIupB6Z61I+Q4sys3g4S041Xe8qprRNYn+IIyv+JpgL9jD/ MA8qZcx8lWJ4thFtFgnI/EQa3oLxzIGsI1P4dGQKn96Q6hw/g1Fz7wKGhrdZlVowOVVr6Xp4pdGW r4q2fFW05atikc9QWatG1USPLBtBVA1Y14ITE7T9xjbdrTqVc9I2ichcjVmBFvORkvTVNf2czu3s HWhQy4IgVp/tPPY+wPN4rBfwIEXE5tWUyrQVpbPhRdXk1zXvNfM1I5WNgmjLV0Vbvira8lWxiJaZ bzY7MtpjlUcy/crSRYmJdGTM6Brg1bwguWXlbr2AB7m0IpWXMGqLmKv2IoaSezRjc1l9FSNKRDs5 hrMafhcAH8PY4uxFTK6HyRiZVeQ7wHBrv46V7uZ25zHeEnOoKJ5MISbYKIi2fFW05auiLV8Vi8le 2cas7xrGkSiTZZlewYMEU0GyXLYRGTDIiejHk5hXAp20QyVAmJ/zDoZjUze01ZiyObKcW9O5siBF PYLkStv8Ve/0DcCPMMjdExhMS5TTVE7N+zb6incqycLURs2riEZt3yHOqjJ//c1XRVu+KtryVdGW r4pFu6Sa/LQZJKZEVAv5t9IlEo705yVimBXw0HhPAN6LUdQuq/FmBM22rlATiWx6IpGszLlrGcPG +iyRNwtIvINB1b6B8TaAwb6kNh6f16ipJcrKa34K4+1eJs9m6G++KtryVdGWr4q2fFUs38EDUmTF UyQSSSm6jlNlS9ieDMo8OIsb4htWTPgmfnaw1qpsB40sLfd4lJ4lSggin7aWbChNabzO6Coxit6p kjHeRmP1NSEvizG8gnV5Gb1scerLeZQFhnc42x5Dq2oURFu+KtryVdGWr4rFdrXXkTkON7leVqHY NkPNQs1EqFQQTj1OYTg2zeurFRADmMtUTbLCy+KTthttloyrh1a3axhUTcRLoXCWN3sSz/EJrHNR 9A608Oy9/BBNTmGUTDFdT9Xysie34n5dD6/Rlq+KtnxVtOWrYvl0Ps8qjwBrXgesyY7leGoDDIl7 lsMhSMky+ekc1l5aqW+mjIlVGZETu7GJbmGwJT2lheWZJ1iUScWYf4zHVybDbj7SIsW+LItYLM3o 7ykMOvgkfl7PL8KqoGQ+64yjN8NrtOWroi1fFW35qljtS6t//kbzzuLIQvVUxM6kNeLUnI6biRxE kz0MiiMPqlIIrMjKfu67mZdqQXbZqfa0sORecVurGLOZqpFJmC9j5Dcx2zK303hnMKS/A8BHAF/C cLyewboOsx7QfNab3mY9W6Mg2vJV0ZavirZ8VbzTxDJFaQfr1ADgwS4OQJ5+YMqYSr6Zc1einXIk rACKKWMmXTFf2yU3NIfV8LN9JGz3XSuZchYDAENVu5ufyOq6nMePRrYyeq9hiID3Sd/348eiFy/n yTeVwKxITcfhNdryVdGWr4q2fFUspgBlm1gY67Mji1VTaoCKxIkeiQpZnBvzNRtefcVzRLyyAr4m rQmiOG9jZNMJr+IaMYqJbM9gVDK2yY2qiSFrLQusWZpNLr52CUO0y+6+idlO5rtahvKdLcGZec2N WmjLV0Vbvira8lWxaGvYTAAD1uKP7W4h/iKCIUZh9ev0N2aKl8lKuqbavaaCWTKpyp6cwFAMjSxa XgIxgNIUtIKLONrPR/KMagVZLgqxKomZigTcxRx6k0YMNa8lXqhJ5oy1qjRZtRRbc6Mg2vJV0Zav irZ8VSz/CEfce6JW+rmBtYPxNOlm9O16viv9SjCuYmFl5kE1X6+Q8T9z817HI1gg30U0yaiayZUW QacmZzBEQNsZV8vV0XtxmmXzWlKJeKzl/2pB8ixbbm7mhe9vvira8lXRlq+KtnxVrLy0VlGEODUP 4AEGObmOJlbs5ATWdPAWBifUyJIDLc9BpGiZrzGvRSNLVbPqcRabl1W8s798q1WXJVSYgqbhrZt8 vVlyL/M1U/NEFqUniidmsYgyo8VFGr3MNmNr1EJbvira8lXRlq+K5XeQS0iCchVOYb2zq1UFUeNM vzK2ZKRSkp58i9kyLCPXeCcxnpVqsQp/0gS1+uN1/TRyJjRaxKBNaY+QOUptr49zGGF+xri1p0UW fWcsMnuJklP7m6+KtnxVtOWroi1fFYskKdsuNoNkqkyNslPjf2JQ1pe4sUnfNIpIm8GeQ/7ak6SH ETmxvkwsNJezMTz7MX1tk9Fm8p0Ev9P4sU3lRPiyenj2GZu82PXwGkBbvi7a8lXRlq+K/we8F6Jc C92jnQAAAABJRU5ErkJggg== " preserveAspectRatio="none" x="0" y="0" width="100%" height="100%"></image>
</g>
</svg></td>
<td><svg xmlns:xlink="http://www.w3.org/1999/xlink" xmlns="http://www.w3.org/2000/svg" width="505" height="355">
<g style="stroke-width:.025in; fill:yellow">
<image xlink:href=" AAAuIwAALiMBeKU/dgAAAAd0SU1FB98EHQoXGGM3tM4AABqnSURBVHic7Z1bjx3HdYW/M6fPcHgz RUmkYtkKAgsIkj+QP5H/D8RBbCRGYkWxRcqyOORczpw8qFCre82uZo+Tl2Tv9dDo01VdVd17GrOw 9qV2/8gCu36wa8JpeXZaXovuWG84BWe7B5/ZHHbYMGXUOhx0OPmDJto6ytbho9lOwWEHcPY/mLfw fxll+awoy2dFWT4rpuiiaID9HDKK9QHWRxZ2wbUNgz4Iw+E3tP4vLmPDeBvWEvXbYKMT1DefF2X5 rCjLZ0VZPit2X9vv5dlfKF2Np3tw5/3ycNYPE8ChH/bwMVK09RG2Uqto5PXh14W8oSA55HDD2XTt DuAW4Lg8q28+K8ryWVGWz4qyfFZMMv0J2j//m34GNPI0BYeIW5z1oTbQLbkL70a3nXrrtLyDvkhd 04L08+HUNHIWR6u3zvo5VCp3wc9o5Igx2suJhop01luYv91jP6tvPivK8llRls+KsnxWTGJkwIqY dAWNLpwBnAM86j91r/iawf7GxDKkvhmT0ao0XqQsir+I19lsG8hdxATXPcbDUbQqOxz7AZjLkPvl vUPqp0fVtbPRHSLHEeqbz4qyfFaU5bOiLJ8V0wHmXECcS2zkrl+jd77qZ+f9tkhCEqQeGQuSDhfB RLHIa7nuI31Q1sdWRCQwInJiZOYtnfo1IJYcI5jiGpG74RuKVM5CQpTls6IsnxVl+ayYIuef/LBq PS4PO2iERdFyZ8vDOhmLmJtgWlWEDbrj+rUogcS6DFM/1rW5K2iubumdj6HpdUeAS2jv7xbay976 Fa73W/fmSrKtbz4ryvJZUZbPirJ8VkwRl4ocpeaMNeefBKt1IepBqRBbw+gi/+9wUGsYpppGJWLE 5sTNdO0OGod7AfAZwM8BXgM87/3+CPAbgN/1UTYELrLssrWEzVmfA5i7xOubz4qyfFaU5bOiLJ8V 09t+OkxdNY5kXC+iGjqIANEHNRnNgv9NBNQyBLmSFcSm8SKs12Ex2KrMlfwB5gLdE4CX0IjcXwF8 AfAK4BOAi975BuB7gKcA7wG+6XMMZc0h/xsqnxE9N1Je33xWlOWzoiyfFWX5rJiejFoiX6UlwBqG HGQadTnBnKDZvGJayuZ9Ai3DwxjoAZo/dAeNS132AdYLkRiRi4Ln5Et9AY2+/QLgl9DI3Qtoztjz 3lnvSi/sWR/+99AkPc1mb8NWSn/8Z322w3L4I8A1zFOi5U8W6pvPirJ8VpTls6IsnxXTsOLJbnTt 4ULZ0Le4IdlBrl+RJyOBEzSh7Lw3iFT+ufez2eRuvYFGiuR4PetTyt36VT98CfA5NKalmEVLsoie 8tDH+yXAPwP82AeIVqoXK5b7ZPmUmi0SAS0Pt7y0qVGWz4qyfFaU5bNitqfFMGBNApPxCHUeRt+t B5hFIXPD8r6mBIrJKJ1B3khdi1Z1hOZuveqHM2jRcq9hLtD9HBqb+xk0/+oFNKqmonNaaeRZ1vvb 9Ym+hObIFQ3dUC1Pjyp9cugXN1ftde9S33xWlOWzoiyfFWX5rJguH9J7ayTbgxDpTYoEtH5ahujM sEiwov5s4dfLwycAfwPwtwB/DU25ewpzn6uKAEq0kw/XFhkV7dPqJ2i+3s8B/mPZL3LValArYRgV 3tNERoTVpb75rCjLZ0VZPivK8lkxrZt+a+W59ayArZXnbBTRN8sUjfpF0t+wgp527ngO8PcA/wDw K2hSndUg1kZp++XS5OsluC1Ke1CDFMNH0NjmYdmZ5W3rWqn9jAqlRIGBhVwoy2dFWT4ryvJZEXpp hxjWoNtQQo5RQ0Qb10ucRAzvFlayao1ziee8gMbrvoIWVUcf1HbBtSxiuUJNHjMJzpiq1nwBTcNT aq0IZBT5uIFir1Piw3L4QkKU5bOiLJ8VZfmsmNZJkZ0ZhiFzka9yONRWwWo9HzYS8qI/ayX3HvrZ c2h0K8pplcdYK7CN0oDmw9VtStqIOJd22v0MGtFUVu0puGMd4pjD6jWasjItUqMsnxVl+awoy2fF pPTTBwXZbfUZbnXQRnQm4jlRhu+w1MgwzUPVV1RWxKiQ5Dvla1iI277fe9EPSoBQlu4xWKmW+xKa kPdvfXjd8aD9K9TZwvLMUOWlTY2yfFaU5bOiLJ8Vk5jHg1Jho/CuoXq0nlAbZQ9EYXTG4XZBl63Q lB+g1SC+hhYPZ5XnbAtZDXAH8wJ9IlTSyM6X1wRFAv4MWo3kxwDvll2ip4zYcKQT3vSftqrS8FKj LJ8VZfmsKMtnxfTD8rdtMBuxL+EEjSNFBEg7Twy1PnUWnbG/RcWl3UJzrRIscrf8KU5oyzXKdA3w HTRq9bw3KG9Wr8TyPx71BWkiq5sSrdR8qU+hVWRR3RSDrcBCCY31SUC0kimn5bX65rOiLJ8VZfms KMtnxcxLGyEiSgZ5PIGPsbnhHPYXaBRRDC+aw7Y406DRwk32ugN4A/AnaImtIndRivBQ9BzmzWqR OmiAA7S6Ka+g7XMhMmYRdOs7xllN4wj2HIWEKMtnRVk+K8ryWfHTrmXDnMxh7iajhvW6KXZHlBlr epPVfRsOEJUpiXy4UaTdj9Bo3g00x+u+r8C2qTCxMJrN8iuUjDukfp9A29P219D0xBM0jXEHLczP mHT0dodBdjZ5ffNZUZbPirJ8VpTls2IybhZtWBYhigBbr+xhsteGCLpIobJ7gXs1TTSobfmgUUTB 9tD2tPgOmsv5ZbAW81QbjVIm6ynobA9jKR1AI5WvofmJf+yt8qrK/xvxYlupYgdvlq1RWkYhF8ry WVGWz4qyfFbM6uE9KFdh/baIuW2Q+aLcDGOMdq9peAeY060jzFNmFZym9ckJ/Abm+8Mqr0OkzXTC iDtG2qHl4RpzA5pj+HNoxVO+7f2MRZr6toEhW4FmLaO++awoy2dFWT4ryvJZMYlqRHRhmLa5ARtc uoLlm0Y+XNvt9TRq1W0qe3cD8/olVgXlDFqKww+9nwqWRCVYjL6p3EoEpZKolooaRDRfQhPy/qUv Q1GO0icj17lRyXVeTF9LISHK8llRls+KsnxWTFfBRSvbBszJztbdryzvU6NYQJ00LRPtxG6UkmC7 R5gwGJVbuYCm4Rn/08Psoe0o8aZ3ftJXZdVSbH3mc43ydSPBb7cc4A7ahhpfwL0tLpRkEZHjDbkt mrwyLQpl+awoy2dFWT4rpsOoZajm2TXbYcswzOGg30sfwEibYunOoTE8a70b/RQeQSs1d4S5p9XO jtAY3iW0XSaAFpunHS+Gs5m/NqoTaHVO5DE+9gd8BS3x4rvlIq1ei8EGjVrFpGvXstQoy2dFWT4r yvJZMRn9AFZyJNaLhOjeDSm4NlSUqgHMWZ/lkUbjRdkce2jy2AmaMmZJG9Ii30Krm/JFb1XCwmG5 vmi/WZbXrEYKcK9kngTJM2iu2s+gbXGhQinqrG007EXYbJEVqh5eoSyfFWX5rCjLZ8UU1TSJNmEA YppnhXSjO+zMEGVkRO5WSzCwsyHDm6DRPMly75ed5a/9E7T9YX8Fc+XOmJH5sS2NVvMOq+CZy1Rr fgYtGO8C5nVT6BNdQlMlIwHWqgjazhgVh1coy2dFWT4ryvJZMWkPhSEZG3pfozyMSAl8UG6Gca7h AEMvqHVRJsMemgNUpeYsR/Y9wH9Bo1FPl8Mf+21WGU+LHIqZQ0qsFcgh/Qpa3RRjePRr5/1homLR 4phWLUWobz4ryvJZUZbPirJ8VkzTqCVyt0bSGh8/i/hf9NMahj5hy9wQhokNYmQHaMxN2a3qfAPw B2j+2pe9ixYkeWyockb18G57gxW2UylkiYCfAXwKjW1Gb+2Hfu/zYBkEzxa5dAsJUZbPirJ8VpTl s8IJ3jAxc72A77BfNPx665CIWF7HMNQsiuazLod+sLTSPbR0iz8AfAnNW2or0J5mkZc7WkFE7gTR RqCRtlcAv4UmG5oT+A5a+b5H/bCOaEGFhCjLZ0VZPivK8lkxDVWwCFtj6f7CLprcOFxE8+RaFUw8 iyIG6ffulz930Hyf7wD+E+BrmAfy0btYOrBJjlYyxRZusEDDPcy3uHgKbc8NPTT9jmuY5/pqctMY rZBLVUtJjbJ8VpTls6IsnxXTxcf7GDbUXxu6ZW2UYSzdsHabXYs0PHW2kn7rk8tlegtNw/sBGsk6 QSN3Ilm295lK+lntwCirYig0TtDSKL6A5id+s+ysAZRaq0ow6qLKzXIRG4kuJERZPivK8llRls+K yQiQhdENkyyE9Zxb62eC1ZDcSXQyh6r6DcldlPsQUU77o1ddkgPA99BSa1/3LnKFRpVRVK/vrA81 DNoTQRPEDh9B89K+Avjd8jnsyY/9YFRSG3nYvPSJCglRls+KsnxWlOWzYroNLhofioiXYLmvkTIW DX8N8ywD+ii2rZiqgkimMn+jrcUckSoDbAqaiixrFGVfvIPG8FRvhGVnnWlbsWhnXFufEBVPoT/l J9CEvAtoyb3mbmV5TbPd9oPNK1GxvvmsKMtnRVk+K8ryWTHLtFivbhJVQVlvUGvUII+iuVufwnwT C3FH7dM6dOlGk5vTVjBfpRb0ARoDfdvPrPLcMDlVBFKSXkQvN0QlnkPz0j6BllWhbdSidyCYA9n2 DimGlxpl+awoy2dFWT4rJpUBHhK0oZ9TiJy7UekSkwNt07EDzCsFG3SHyJikq+F2XOI5UgxFgLTw aXmmbWrfQStEbGkUlslgot3wNQ3flZGxO2iv5Lz/HJJZe8Uaz1qlgdY3nxVl+awoy2dFWT4rwmop Q2xgLcN+UYKpGqK8CRtK/GUfNIhfmcRFMLwxS4vcUwTd2374YnmvjaewN4uvi3zC5hgeVlq5hEYv 7bao7EnEHfVs4sCl4RXK8llRls+KsnxWTMOQua1sbv2OIa8T7Rl2oXfZL8/MZbrB9xklog677KEl O/wILav2694qsVDrs53MDEpnve5n0iKj6EXVa/l3AO07Ej2MjWJ09ap3Ea8rhpcaZfmsKMtnRVk+ K8Z7WphD1a4JEUVcj4wziJfIl6qDrj2Ce3XfFPE2fA76I2iRioyL1qfnuIW2Te07aBvbmkBn2cHD LAipg/TO6neE5hh+Cy159p8Aft0nVx0+fa1nMA9XNLfs4/5TG7QVwyuU5bOiLJ8VZfmsmEQDIkdf BKNv67VPzLcY0Ub6AKIpYnjn/aDUBbvtcb8t+juOvLnXQYNBm7q+gUa8Pu8NFhM4ZHj2cvRsV9C0 uTfQNif7BuD30OS7N32l59DYplVfFvO1vc+s8Ar9YegLr28+K8ryWVGWz4qyfFZMX8GciBjJsvK+ ltNg+pWJRNb5Dua+yuvlKPR7n/aDFK8o4cP0K1O3hlraLTSys87wVK/lR2gU7EuYbwMrOdCgd6XZ bmCeviE2922/9q73A+bxhKf+M1LpnvafCgK0d3XeBzD3ciEhyvJZUZbPirJ8VkxWkk7uTMsoEEEz F6daxcjUOeJwkseMZF1Ay1qVXhdF0BmbM46pa/Tl2sFgAyibQ4T0G4Bf9C6Pl7epwt+H/mzvobHD 76FF830DjSx+3ztrNsUYiiFreJZnFwCfwj3mZo9vucNCffNZUZbPirJ8VpTls2KKavKKYMidOSx2 rGtX/WwY4naERoCijFLVDBZZHNZcsWWcLbvQ5zAVUXeoiymBtiCg0bJ/7T9fwD0H6CU05vYW4Lt+ eAvNI3vdJ3rc1yxyZ/LnNbR3agF/j6F5jA/LxzJYTkhlWhSAsnxelOWzoiyfFdMfRy3rdVPWW6N+ 4mbmvgXm/EreSAvus6IoGt7UN5adowVpvBtoelhU506RbD8A/Baa8PYSmu/zBhp9U2mVP0MjfGLI isOTy/RJPzNiLVetXpPI3Sd9qOPy3siZHeUYmwZayIWyfFaU5bOiLJ8V03vYnl8hDNMyhmm0w/Es cMyyQtU5UvOslspwuVqkGhQoJ9oYuauv+7Vvoal08m0ryM5c2JbxoJXafh22XCt7LKftAeZBgJHn 1ngdo5/0BRUSoiyfFWX5rCjLZ8WkUr5RiBvwsZSEqGHIGBWg9wFarJr5Uter2xnXG5K7YQG8SKq7 6qOY6mfxhNfQ1Dz5cM/7vVqQxDhzIEtoHIYX3i0PGk8+YT2Hnen9WUGV6HXWN58VZfmsKMtnRVk+ K6Yn/dRK70aZDOZMtOi2qDP9DkHF33bQshFEo5S0YbcNQ/Csdb1enzG8CRpz28Gcrx2h0dCr3sXK o7Bc7oZFKvtW7ttDn1Is8jq4bV1ntccfJp+YB7qQEGX5rCjLZ0VZPism7Q9hxMFEoqFQZpxGleyA e7KcSpycQeN17/tZxBiFqCHK/xBM64uIl7I+LKnE1iInq4ihCWW2qt3yzNJjpWNqBfYwculG+9IO rUWfyJzZhvrms6IsnxVl+awoy2fFbCuIdeKg1qiIsTBU7kzcE3WxaLSIr1n1PescBZ1FhwPMkxiA xrRMpYuC+xRfd75sHYa4iWTZ6u/gnpNaCxfEzZ4tn0PhilFRFL2X294lKkhd33xWlOWzoiyfFWX5 rJhVS4mKyQFxAuy6hHQ3ajWCEXGkaKghkVtPEo0qwBkp+tAP6hJxTKVlDEurRFzP0jeUm3HZWyP2 pYRaqZzvoWXfKhn3bDRApEUaf65vPivK8llRls+KsnxWTFZXd5jiEElNw+i2CKegX1QUz86iKW0o 24RrmKohUUyTX8O9Kshyxlo/+plIlrrYhhpKrdU18UTpa7a+O2jk7kP/eYRWgiWSFyPVdOhEF+qb z4qyfFaU5bOiLJ8V0wXcc2cKpgUZouzb9XIrlvepGDRRtdtlvw2wkS3dVtdu+09tJmYbb9goYmSn 5b2X0LJbFccoMnbTzyLOJeoXEVe5jdVPb1cLfxCiZ6tvPivK8llRls+KsnxW/MTwgHtOwihHIvK+ 7oPOarXOYl830JiMBDBJV6oZN6y0Z1Qyyi0wsVD06APMUyvMAy2hbFoOJQ4nCjbMQIkIs2itII5p m9hqLce+oBfQyh5brodhXb5j9d7C/3OU5bOiLJ8VZfmsmIb+0OiaJUVI+7LCHBGtML+pdnHVyLfQ iqfsoG01oS0fGJ2tZ5mKlsk9etUPkUh5s+xsEW9ighL3TssBojQPgs6qm3K9HM9uO4dG7rT7hsTC 9XwXlq0Vh1coy2dFWT4ryvJZMVk4G7ASDwfc+2OxiDKjeZHmdoI5p7FiIspBUFWVYWk4myhabpR0 IMKnLhIph7ul6Wy/bNXq9TrlvrUwP1tzxARtA4wnMOe7e5i7iI06G8sdltGrbz4ryvJZUZbPirJ8 VvxULcVYUCQIWQ1d0QURJUsw1chRFqxFo5m4J3fmMK4vUsbWHbmR21i07AwWxWNGo0RRiXLz2ms6 QCNoO2jPJi/trk+p5A572RM0Nrdf3sbymmokD9lwxeEVgLJ8XpTls6IsnxUzL61JTUNqZa3Gmywt d91NGSlZJ5hXihvWmztfTh6Je0aKTKCzZNf1ZGGW1yzxwl6ddMKLfnjcWy9hHgmoODxbuGpHmy6q 8n2X0Fik9E5LZhEBN2Ze33xWlOWzoiyfFWX5rJiigiVRjqdaozAw+k8gVvMEk9ssk+FKa+sHW4aI 1/pERtCmPkfUb5iSEMmQaoiIoVHYPcwp2AHg6Wgtqs2iOEG9HA0V5Qnvlp0tm9cqrdQ3nxVl+awo y2dFWT4rJpOf1uPDLPP0NmgQEdHBmEfkCbaicxM076YKDNv6WJ4NEdFVJadOy4VvhURAUyWtdoye 93rZoPdnXl8Npd3NWN4Wia1Gk6MiMPbq6pvPirJ8VpTls6IsnxXT5fK3lLGz4GCw3bksNk9cKrrX mJFKyAEt8uy8D7qeQTFMJrWDiYBygA6L4kVTChLKTMiTcmd3WO6raF7EMS1ZGGi63vCN30LzCT9a rlmsT3t41DefFWX5rCjLZ0VZPism5RYM69dFhUisxHGkD5lyN0yAtUi2Hczr4SlnNErziOL6LFdB EKGyonMK6RvG9R2Xt1n1FZadbS1Kir3oZ/bWLNVFJV0UtHfTh4pK8Nk2v3J/75e3veyT1zefFWX5 rCjLZ0VZPium13AvOt98hiaFyVMYZa1KjRrmtOqahYsZH9ImrFHuQ3Sw4fUIcnuaIKnM3WG4nSBn sVipEn7FlS1O0Gqa3C1/2msSGXsE8Awa1/vQzzbs+mHvJSLH9c1nRVk+K8ryWVGWz4rJts8SLBVi vd4cfRSVlduQjHtanqk+iCSp4dKG10xKjH5qIgtskywnlmu6maW4mhNYLM3qnNzAfBdc0yytvoq2 vT32UZ5Dy8h93LtYxcBhzJ2hNLzUKMtnRVk+K8ryWTFFqQu2B1mUBhAJdHYt2sksajBpzRI01rHO ZKL6xdLhlG5he1UMg+JEox71M9G3HTTOdQFzRqaVmvypDdBu+jLkzX3WJ2L5HNIdh/umRS5xO6tv PivK8llRls+KsnxWTFbyw1S1B2Wt6l6pYFLL7G8son5no4ZhuoVFmdkAdq/oG32Rktuiyi2aw9Z3 Bo2HfRrMZuXsTNE0Phm9ZyVFqB6y+YSVdzz0VNt2uyy71DefFWX5rCjLZ0VZPiumq1GLsSpLt4gq 8RqN0pnYl/jLEJawsF/tZx7KKNzOKpSclvcq6s9+RrkKdhD7iuLcLFHWpDWRSimBFoc3rJtiAmfE 8KwYC8Ei65vPirJ8VpTls6IsnxXT341arJ6H8kg/QNt0wtiS+XCtxocaVMrXZotyS6MMig1BZ5br a09kG4zpDoX+DbNDTJU0ehltPxZJifTZDv1alHNhb9f2ejOWy7KfKbNV8bgAlOXzoiyfFWX5rJgi Hc70OiNUj/u1d/2M5ZmNd4TmVtSgd0Fnq4eseyPPrbUKVsQkWpBlkShF2FKJzfGqA0E/lgsyNkef TWvRvZYTAsx3Ixu+WKN50ar0OiMJs5AQZfmsKMtnRVk+K6bf9NMhAZLrUgkGYh7mzTXCEvGc4WzD HS+EdbKj26JRopwQNchvOowOtHuN+Q5L9dlE0W65RmuVh2tv0mYbPkykcgLzMMT65rOiLJ8VZfms KMtnxTQMt9NPBdTdwrxEhzBMhbChhg7QdZ/rOoyWbR1g2GXdyTq8I0pSid4uy0Ej+W4osq2/ocij bWtZH76QAWX5rCjLZ0VZPiv+GwXCMyt1ypnoAAAAAElFTkSuQmCC " preserveAspectRatio="none" x="0" y="0" width="100%" height="100%"></image>
</g>
</svg></td>
<td><svg xmlns:xlink="http://www.w3.org/1999/xlink" xmlns="http://www.w3.org/2000/svg" width="505" height="355">
<g style="stroke-width:.025in; fill:yellow">
<image xlink:href=" AAAuIwAALiMBeKU/dgAAAAd0SU1FB98EHQoXGGM3tM4AABeDSURBVHic7Z1LkyS3dYW/qs7pngfN 90jyQ97YivDG/iP+/wuFJYe9sGRRpElpyHl2V3sxCJzK0xcgiqS18L1nkZGVQALIPJURJ+4Lh39l h0NwFuG+H+zawr0XIVrQwiIPi/2Gj7C6jB89sg06HyVqNSqieaNrx+nIhf+/KOazopjPimI+Kzad /mhZdoDvkyR/WdzDDxZPP80c/3dYEHeCMXOA+ubzopjPimI+K4r5rDj8g05HZ3b4oTNd0k8a5Gp/ 2ILDRf/eix5hVQQepj/n461aTRfmtQbNdgdw6oey4aVGMZ8VxXxWFPNZsYl6CYITnKsCya0NzuXW TyNOhjLqvi9Dqu+uN0iwXPf1RcNH+vSntrlFrlBNdJH3eqHLgitZuOuHUngFoJjPi2I+K4r5rNhM 9kTq4bQ/mC3t2G+73DwWaa4oZuzUZ4sa7voyNNRPaHxchc0hfSpVddp3voK28FUj4MK8Bk2uVZ36 vIWEKOazopjPimI+K9yGJ5m3wbkFiN56Arjt1yRTfmqYUXHeT3api3TdQj7J8DZrlZaSuJMFUgr5 sL8mu+jlgnSui6ODbqtvPiuK+awo5rOimM+KMNPCouDMhmcKxaSVmaTm2Rf3oy6ReDKsWumihssV lK3qFBwicacH1Ccmk6PGiwx5q6symKSzzpq3vvmsKOazopjPimI+K94rvMgWZPLjCA9cfrrtFJxF QmS1Gokd7ketkqEX4aI0WpNMJnXfQrNoHqDFBH4I8BHAxwAf9JW+AvgS4A8AL3vDD/SbLlRkGb7E +uazopjPimI+K4r5rNikMuwQCTSzPM1homiYjWDDS37YWkzXPYImUIdWuouMYlGsWvQICq07AjyB JuQ+A/gZwHOATwD+qq/0BPAtwO8Bfg3wG2gy72q/giGilxgZGoduWfNoFxKimM+KYj4rivms2Ib5 C0MH6GrZu0jXDd2eukPDq1VhahvAY2i6KZKmQLOqWR6uPYLNq6QNSz+Vs/Mampr7FODnAL+Ac0n3 QV+fic/7vqpPeutLgH/vC7+oNssNNHmp2cxFbI/A/qy++awo5rOimM+KYj4r3EsrrNZum8f4zzvP S6ZI8Cl9dyjuHkGTYAdoWupVPxs+4C00T+u7fkYf7xk0Sfccmpr7a2ji7jNoVrqbvox5isN9X+Qt wBfQ/LXf9VGkJ+3laJSbPu/T/byn4I7IDEm/rZAQxXxWFPNZUcxnhVdLIfgZCQfDD0xJnRv3lM0B PHDL6o4jNN0khbf1e2/348lE+A7gdT+7hSaZngP8TT/MrXRabjSHpYjI+vYc4JcA/wZN4S1U1Tv2 yR/vG+bCOgrGq28+K4r5rCjms6KYz4r3cXgXYe5MXPDhRlLSYu6iP2Tk9pR0sd0tpPqiB7yDc8vd CZqQ+xXAPwL8LTRJ96wPZRrTUmsvcrI+gXNL4O/3jzUsL6jHMr9upPCiedW5vvmsKOazopjPimI+ K7Yh9QtKYXjtcjOf3RaVUYlSZk0K2QAK34sC/hSm9hzgXwD+GeDvoJnq5A6Ws3ghscEgW6TWcgXn /t/HAG/6bMMcWS2DoEu0gmG6RX3zWVHMZ0UxnxXFfFZsQ+F1kTHuosoow6EuSoCNJjIZNVyfRNYN NHvdr+Bc3EUF62zfDMvDWJB5tqpn0BTeM2hhg8rSndc+mc8xxDE4K+RCMZ8VxXxWFPNZESq81WtD m5EJkXkmazTRXDtGQ0VWv4XbrqFlxn4KTfBZPxN3ms0shsMuwwXdQPPSfgzwVe8smfdj1Nw8j7m+ +awo5rOimM+KYj4rtuufbqyL7HBzj6J+zs1jUb7pwuRSbqqCYvmwUb9olHt4sEsv8KAEi+19ATQr 4ifQZN5/wnnqrzYBXkBU0m8uL+ubz4piPiuK+awo5rPC96Wdq4I5zNh10VBD+Wa1QKL80ItgjleV TLGMYaVvmMgy/feoH4aZDFq91dw7QCt78hxaIu83++Et72TBa2450FEpPPaDFnKhmM+KYj4rivms 2F7Dg40jLscBWl7qRU5W62LiKVJ41row29ydeYJWq+R172cl+CLvK71ByRiR55Z9Z8sYPsF5gZYP oSm8IzQRSF/G/NkWbHil8ApAMZ8XxXxWFPNZEdrwhFXBN3SPLtjwLHLPPKPz2nLs+y2k9Eae4Bf9 cAfn4s6ScW2lllq76k+2vXRvAD6H5qr9XV+G1qfZTAOvBh9GMq+++awo5rOimM+KYj4rtqfBxcsT JeZKcC4bTRnJnWmI9lIbHnSH2cOi9IPvoBnP3kErXRLJN2GefRFlNwzlalQ35QUPcbl90rrME0MK aVDMZ0UxnxXFfFbYtrTLvk/DMGNz4drQ4rUawyerX2Rzu4KJwjtCK0T3NbSCJR9O12yRcTZoZCKM 5KC93WcAP4MWlvfnfWfL0rjInW7Ksmx4hWI+K4r5rCjms8IV3gIWclrt2sIo98EhQqRuIoUnbHC+ dYWNfNUb/gTwLbStJoaTD8PyVtcceVrlqv0U4L/7mi+SutGUdiiFVyjms6KYz4piPiu2yB/6ozGv 4mYwjTT3jEZaRa2RwnsEzUoXpWooHu4FNJmnnWyjEMFh7Ntc4c0hV+3n0ATf235vlEtra5lPVAqv IBTzWVHMZ0UxnxXvc2kjROpmmA8R3UvQOsx9GNrXhokN80VqAKklm0OPcISWS/s1NDk4Lxe8kMOx KryED+B8i4tv+9Ki8ML5eAvO9vrms6KYz4piPiuK+azYHgUXFxIzdTANshofBpxrrigXQMWETeEN /cSR+/YGmsdTNehMGB57l2+gJV58FqxliHl+xRDWaltc/LEvzUxwsjFGDzMXd2XDKxTzWVHMZ0Ux nxVhHN7cYGWt8xTXCFHM3dy4d9UPWsHwDpv3ClrRuTtouRSmc1TO7hs4d9Ve75cRPdYwg9Zq3w2h h5Gr9tM++bvecOjLeNsfZtsPMCfA0i3qm8+KYj4rivmsKOazYpsHk/3AvAnhIpNeNJQqnkTZqAvD H6AF433Qh3/bW23kbwH+B5qr9km/I9KO8wKCwxi+4SKPfZGf98kVjKdB30CTftt+gGhKg6ym9c1n RTGfFcV8VhTzWbF9109XfYtDzJNshzBvaRRuFyWx2r1zz+0BmlHsWe8s7ajZXgN8Bc1Vq7opCybH 6FEjacp+AFvkY2iu2qhuCtDE3cv+RFsfbxgmqdZSeIViPiuK+awo5rNim29tv5BgMOx8OYbCa24Z i5YR3XGEJooeQzOF2R330BTeN9BsaY96w0LVkmF2q+nEaLmyNn4K8Am0uika+QjtDb3qz/FsP7wp PFtaxeEVivmsKOazopjPivd+vqFQ+stiaLmzciGreR1RHZYreBBfZ5rrz9Bk3i/7HQT9hsFuUevQ CKinPEEj5EN4UDfFpPgtNJl3A00YDhE52+ubz4piPiuK+awo5rPibF/aoVaZXxMW8k2HiJITzHM7 zB61UeZ5GPTxzE4o4fUK4EtortrHvbPmiDbPsOe42t9mKzDY8yoY7xk037FsmxrqDTT9J1etYZjm W998VhTzWVHMZ0UxnxXbzahlqOaGSnC1ArDdO89QvYJz/TJP/YicohGiKnP30DJUb6FVxnsB8FFf waGfWYgb+7Or/R3Wauszv+4Rmqj8vE/+1X4ALfwOmsJ7vB8PeFCLRgKy4vBSo5jPimI+K4r5rPBc 2ih+zRqin5HOWTDaDT2tmvwazvcWO+5b54PKDzvsdx/8vIVWMuVP0DYxO8IDcReNcoTmMlWe64LU FRQs+DG0YDyZMKNE47t96zwdxN5kISGK+awo5rOimM+K7e7iWyKr0GpknDAXd9I5N/2nTFKR9U2D zlNIbQUG+Ve/g2bIewtNtM3zTiQCh5F7du9QDV9Bc9B+2Cd/u++nx7rbNwzXpxc7TE0uZEAxnxXF fFYU81kRVjyeY6ivhh5UswRGLk51uYKmaW76z+Oo8zB1wVYqPXQKuhg2aCVJvoYWlvd01DmaKMLc tGarl3/6pi/o9fffu0BFeWkLxXxWFPNZUcxnxfZRcHGuGea14A7BT2G4TZlu2/ohipZj3xCZqSLx GWVVDGWo/LraxOyTfWtUY2YhIDF68uE122ktGtnmtWuWpGLatr75rCjms6KYz4piPiu2udgxzAPg FmC5oFHrMKFWP6VabNAhrFqK7exqKlKVR15Ak3m/2A8VRbLd71tt0NP+YNfsbbyBZkD8pi93WPDZ 0nzNfy6Zp0UyGq+QAcV8VhTzWVHMZ8V2kTxahRU2EeaZG1ZlRD+34IzgjtX03YUFXUFz0GoTMyk3 y/Ud2uEEhczZmU3+GuALgP+AVvH4FuKKd8OyLEK0DN1bSIhiPiuK+awo5rMi3NPCcinm0mWIYX0Q /TQr3dX+sMF5RJ5C0qSH1MX8sNGUWtXd/ucwgu4dtFolLyBObI1knkF2PXWRhD1BE5B/BvgdwG8A fg2tLJ+5VqOYxeOo1d6znry++awo5rOimM+KYj4rtqf736tFUayLmcJMDg6j73SHOWg3OM+lfQQP BIvqkkR5rtEjqBTK7fd31tnX0GTec2gprvTH0rOZZTF6k2aq+xaaifALgN8D/BfAH+B8S1o9ubmr 9YakfM0Pe93P7vqhMi1So5jPimI+K4r5rNj+Hh4YiewgmFQTIiUoAfQOWrUPZQ8Mczg2aKmrj/tP W4bEjoRNVJzORlY549O+IRKpyvr4Dpq39Gf92qP9ABreXKanPuUraJbArwH+CE3X/bFf+xbaa7Js jkh3bgBPoL2myFypO/QStcluffNZUcxnRTGfFcV8Vmyrya5mjNO1SH5YZzM/qYvOJO6e9YPZ5g7B QQ0SpEO3rA4L0HjvoNnXPoUmvD7q67PHko59CeepGl/2g7y+r6DpP7lbD/1aVKpZ2uwptGp5Q3HH tKG++awo5rOimM+KYj4rtija3+xSumZnQ6iLDHl3+59DhfcEzn2L8ypzWvhwB9ho3rnFS1Cg3FcA v+3jyV+79WtvoCm3P0Hzvn7df34HTfppIsUYWhW8DZrMM3vnAdob+ni/PjNhDu2sprgLCVHMZ0Ux nxXFfFZsX45aFlTVKqyOSFQK7/1i4HzLr8jqNyyyEvmJo4OwMLJWdQstC+IVNKetqiC/gabhXkBz t76C840orGqJ8klkCZRL97C/JhW+QTMgKrTuomwYda5vPiuK+awo5rOimM+K7fX+96pyu0jhGSz2 TTYo2/zV0nwteE7LiIrszQ2NSiuV2LFtbzWAXKa30MTdF/vVn/b9zC5qEkyCVDLPajhb+oZexNP9 IhceVYjc2oWEKOazopjPimI+K7af99NhaTjDsCDI8F6plltohq03cC6yolwPQ5RGsZrrG13T5Ldw vpcG+waL4YvkW7T6+SuxNUd6zVzJlsMRPX6EIav1zWdFMZ8VxXxWFPNZsdmGq1FNjsidOdclOjP7 lQLWXkJzZ76DB3vGDnWisBCgZ/2GSSX0ZSjuUIm3lvYwfEP2mqJYvyjAUXmzajArp403H36Yi1IK rwAU83lRzGdFMZ8Vm5UQjjB3A0ZBbNHOY++n6wfljEpBDfXLanLH8Dnkh40WfhccbC2RhqNfs0jA aCMy3SYdK5ugqUjbzWPbr3Ro5YwCHG1pZm0sJEQxnxXFfFYU81nx3i05r7Uxd4VGprVhZRSlkD6G Vvf3JZyLnbkT2CaaYyHyTG5jFaKzAXS4mrbateE7VWbx276CKGVWMk+FjYVImUfW1Wh99OELCVHM Z0UxnxXFfFZsC+Fic2esIUpsFaQ3tMGs7pD2GZrvhprmEPQbXpNP+C00oXkX9Iu8pQrVs2UM/aY6 M3H3LrhDneXRfgXtXd1AE3zXEG9YFk0ZSb/65rOimM+KYj4rivms2CJxMjfaRbpJZ3PT2jAoDmia RmF5q//KeYCeJJ36KcjuNZzXNBma5XRmFeWiOnyn/cGu3cL5U0YPoxcxTNAdFgs0hTfUyvXNZ0Ux nxXFfFYU81mxXU+bFyrKrcbwRULJ0gpktXoMzUy1gGhVGjSquaxs3mgbtXn6aSTa5L7VY0XGM0vf iAx+chvPN3eb+8oj2AD1zWdFMZ8VxXxWFPNZcabwhpvORjJvKPgiREpQYkdiTBu4XvdrV9ORoyxT c9qaUextn+NNn9JsbsAD36eGMmPc29ED2iJN4UW+VI1ny1BuhnbBuIZzV3cU/zfPVKlvPiuK+awo 5rOimM8Kj8Mb5jSYjBqWHx5eW1B4J2jqS4LvBh5scTH3S+os8oy+6QdFwQ0zaI/7g70IyUZ7wIs2 2ZB5UTkXgkyET6DZNs1iOI/mi1A2vNQo5rOimM+KYj4rvieX1mD66m7UJTozxaMoM+EemhFLXSIz VYQo6MxklNUlsYah9dK2s11wTWtvjoXlRhm0kmDKO5a4MympnIvI3jn8Wd98VhTzWVHMZ0UxnxWb GeMi0WFn+hlZ/Q7BgaBfZLACzgPlbmFJ3Nnqo4b5HcOHjjovtMqG9ygYOXp1ckjrebVL7/W+we6w fS7msZLqUt98VhTzWVHMZ0UxnxWu8AxDp61aIx9pJPOipINo1zLggc3NXKZzrTdcrmE1inDexYyA elQz5EmlAQ/csrZHrrReZAmMnMWWXiIMlW9981lRzGdFMZ8VxXxWuMIbOvVMv0TFiYfJDtaFYIB5 PuxFFVlWYea2ywWf9FX0HGq4huZkVf06dbZgvGEebmT1sxVEBlNrKC9toZjPimI+K4r5rDhTeMBE m0WZFsOoNbvN7mU0gCkUBaJZZWSbco4owVSLvNr/HC5oaL6LbGT2bPK02uZppuaiCnrDRxhaXIfO Z7ujvvmsKOazopjPimI+K7Z3ENvIFmLpIrOSMNd6jM7kjFVBkHns21DxDA1+SmdQl8h4RvAzKp4S xeHpp1nulDZso2gFw+3bDtMuC/uJWOdCQhTzWVHMZ0UxnxWeSxvljEaOUjsj6BchknQWxHaC8/xQ ndk+Z8ORowYpqOFOEUOXs8UEKjvEyuhFHm1F1R32/W76QbugyUuryn3v9mseikAb3jzQUQhjffNZ UcxnRTGfFcV8Vmyf99OhU8/SIxY8gHNYWFlkI1ORkJv+c0Ftzm19d9AElRSUtF70HFqplKW2pIge QTJqg/P8iqH7m37bCc5V37M+kUlTE6nD5Nm5UK9vPiuK+awo5rOimM+KbVWbyRYUGax0NnSZapR5 RJkyT2W+MxenMEwwiOa92l+bu3llqjNRJLUpw6D5mK/hvEKxvTXbN42+NJVH0Uq3frgJhtfuFlKg kUiNUN98VhTzWVHMZ0UxnxXb3A43FGPD6Du1DqP0Tt59B1UZmdcMjhZpE0VRhFrVtr9X1rLILGfQ JhuyCQJNbj2FZoK72c8RZaqcoGk9aVtZL03bqoyKdKK2vYhsm6XwCoZiPiuK+awo5rNiux21DOPS humsJjCG4s6mtNssdC3qZ9ekfSzoTDYty2S46j/lQRVUYI7eajFtmvdJH8XscFYUxfIr2LfqcAtN 8Mlep0c1X/kdnO+MG40cFV5hv75CLhTzWVHMZ0UxnxVjhTdHZB4zW5XVaZPeWJjSQtyGvlkTd8O8 WfrkGt6kpH5G25Qd911kvrNCLnryqNiJOXzluTUBae/PrtnrXBB3Bk1USIhiPiuK+awo5rNi+6f9 b+mIN9Dcj8rxfNsPFqYmC9X9/g4zIc1rgUSYx/VFnaPbbAWC6auNh7A0BROGkT80KgwzFJ+Sb5GY jbStdnMblkexEMFoGfXNZ0UxnxXFfFYU81mxzVMmZG47QnNJbgAv4cG2ssd+zeqImLiLsBAECEzC 8qzzcLvdSPGYUczMd5Hr12yMCw9js0UvYijuIo707o9Bl0hJ21l981lRzGdFMZ8VxXxWbL/d/7b6 IKrdIQmhMiCv9w02yqq4s9si3TQvNTIciv0y5pZAc/hagzk2hwmrdjaMWbQQQTP4qUu0Fns2+3jn AteGLyREMZ8VxXxWFPNZsUXawkLmojzNhX/MUFswujbsMlSRqwP8aFye0nvRyMN04IU5Lpe/QH3z eVHMZ0UxnxXFfFb8L6oyxFtfD40fAAAAAElFTkSuQmCC " preserveAspectRatio="none" x="0" y="0" width="100%" height="100%"></image>
</g>
</svg></td>
</tr>
<tr>
<td align="center">
        (
      1)
    </td>
<td align="center">
        (
      2)
    </td>
<td align="center">
        (
      3)
    </td>
</tr>
</table>
<div style="margin-bottom:30px;text-align:center;" class="caption">
(1) Theta = 0.1. (2) Theta = 0.2. (3) Theta = 0.4.
</div>
</div>
<p><a href="#Iterations"><i><code><span data-if="hdevelop" style="display:inline">Iterations</span><span data-if="c" style="display:none">Iterations</span><span data-if="cpp" style="display:none">Iterations</span><span data-if="com" style="display:none">Iterations</span><span data-if="dotnet" style="display:none">iterations</span><span data-if="python" style="display:none">iterations</span></code></i></a> controls the number of iterations that are
performed. With an increasing number of iterations, the runtime
increases, as well. Furthermore, a large number of iterations may lead
to a loss of structure in the smoothed image.
</p>
<div style="text-align:center;" class="figure">
<table style="margin-left:auto;margin-right:auto">
<tr>
<td><svg xmlns:xlink="http://www.w3.org/1999/xlink" xmlns="http://www.w3.org/2000/svg" width="505" height="355">
<g style="stroke-width:.025in; fill:yellow">
<image xlink:href=" AAAuIwAALiMBeKU/dgAAAAd0SU1FB98EHQoXGRQwhFgAACAASURBVHic7Z3JcjZXcp4fAIUZ/0iy 2Wqq1a22HKEILbX2dfiStfXC3tgOW7LUErtJ/jPmSQse5VMnUWB4n/kuvqiqM1eiAm/kuPNfAT4C LAC7AI8AD3G7E1f3/Ad2ostDPHuIWR6iy2OMZe63N6+RpnLEDk/hGluTumd/HufOj/MRtnbvUZd5 G/cA+/Hsbl7ShZze1e5jk061Gz++q/v51gncaRrx8Nywx9ik+3sbXRoF0ZKvipZ8VbTkq2L5CIN0 yOuAJyTrPq6Izsy3e9Ev0Q8ZSqIkXrkQc78ECVAiMXsbnZ/dqezLK3fvQsw7BZ5QWF/dFg9Lt3bm ubH3G8NcPL3TrfeXzpYkA8C7edJGLbTkq6IlXxUt+arY+QM8UZQlcrczd9niYYnD/TKeHZGeOf0C cLAxYg/gCOBwY6ficW795S6JHm11dkT6dLaGbfHJrQkcIXPb2xjhVGlrWwT8FuBm46q/+apoyVdF S74qWvJVsVwAnMH4v38Oa4Yiv9qPn2X+kW9sGU9VHDnpXvxo3dTAqGHzPm5d4zDGbtEeDc3JVJuM p2w0OJXn+P+gbyJpJZO9+1n6trPRurXaLgxz695Gq898a/fxsz/v1NfUKIiWfFW05KuiJV8Vy7cA 1zAY3n5cSbJ2AS7iah+GQu3UaaJhJyY4ixHvYWiPjmNSZ7kDeAPw52ggdqXrmmRsiTX8w020kRjx rEdeIneJ+u1tdPH2l23Mdk506yZ+7uMcxzDUkMnQ7HzuZYHxwp49WyJ8dzHLEoufxO4bBdGSr4qW fFW05KtiuYO1ZuwOBnmSHzzGs3uAy2i4hzVpu4O1cuqHmEVmdB7PbqKfBPJh/iHGJmeyq5hFVR3z FTEiKdQSM9oyqG5Rvy0lIDFz0jvew9ooegDwCdZvDYCX0WV/Pkwy3zo9cSVhZm5lfuZUe7HQ1Tx9 oxZa8lXRkq+KlnxVLFr2VND553AQV3IudVAPsDYcEleyr8SgkulSbLngyfWuYU1nUvxqCnZ9nFtd 0v1tLck8S5ovdU4huPJiWe7FPOIbgG+j9QvAv8WxUsxt8txLG9JCbsOWM+OWhk+VXn/zVdGSr4qW fFW05Kti0QEuBXASDUlRBqxJljoy1XyJHm0xo2RRTOGxROtWlpbUT2w5wKVzpMUfNm53N0YQ21Bd eRu7/xLPFoAXAL8D+D3AX8PIUPIC4EeA/wvwDwAfYNhNn2Vpnu3ZOJF0GOYr365m3v7mq6IlXxUt +apoyVfF8suZMzSPHkW/fRhata3EdlewNvPqQqbBdyvbh2EUN/O6x9GwFeEra0kaLxne7jx2K6Z1 y4NO5znZnL50HvAY4DuA3wJ8DfAbGPq6t7COYzkCeBVX/xtGLkK5WeLUKUce8MTb0J0mhqd4tBjv z5M2CqIlXxUt+apoyVfFcgbbep8UxZnMnqdxm/R/BzAYWaIaRlDI+raS553Mt7cx6atYVyazF62u u0TrZxgMautsCcnbUAXdedzuA7wG+BUM3dwfYPC6lzHVUWyDmO9FNMiV/xLgn2Oh9Ca3DNcLrNWB S0y/O3e5g0G2L2G8sNu5tb/5qmjJV0VLvipa8lWxJBtp+kvYSl0M/EKYwlac61YWN/VSLr7VanzA Wcwi9XPYSfS7iXWPYIQ4uEbakAo6A4gvo/MeDPr2FwD/GQal+y0MpvVynuU4lryKt6F+Us/CUxg8 8QgGFzXeRVEkLrrEUdXNEWvsxLq6UyYztKyvv/mqaMlXRUu+KlryVbHoep8ywCXnudu4IhqSV5j2 2seNK2ENrS3XPxmeDbcweElKmZJMtRK5q9hQqudgIOqXuNKD7hQGkfs9DCXb72EoEM9gzTbV0klr 38GgakfRmXlXN7HQX8LgidLQhK28ybcb/e7nLtexkHkCZa+J7zZqoSVfFS35qmjJV8VyGZdJVfds 9rikvku6ua2xxMxbFBF4ksTYZ3KkpL7bg0FiDmFNj1TupWKt7uoCBgvah8Hh/gaGbu43MIyxBzGV X8hhrLEPI9ffFxh20xMYRO4hOhtaa/KUXRg6vK9hbap9lmcnxu2zm41niflqlt1ao1ELLfmqaMlX RUu+KhZ1XynhrobSxOb0GUt00KoLqe7X/vwsOZ0ltVwqEqtnHNFZjrSlHZTT7M9TbSVA+U8A/wXg 72FtAJUyyYx2Y3HNyxexyauNhRLd2oWh3HuEYeH9Np5dzP325lmIhpT7JNHBXRiquj1Y81jiWC/m YY1aaMlXRUu+KlryVbFsURKjIJ5N70t0Sd5tMhRpo7yOeQKX3Aoc1Qrqhg6i4XFuuJ/HpoDfdMD9 6PcNDLOs6fYWGHTLUh3HMZ/sy/oQlgFzIUlbsjvr8LfEDo5hXTHOQ/9yvr6D2ItHTYXNiGeHMUIq 2SiIlnxVtOSroiVfFUtS70gmknFyy/CaGNnj3EUqZNirZOdhHrs7T7DMV4cwuJQ5V9zuDQyK4yav Y2zaeFKPfYG19u0u5jOtsFMdzrOoQXN/MlA93gxxsGyInnuvYWjzfopjbdlck+FVkuqILVEkdr0/ b7xREC35qmjJV0VLvioWSyrczS3JoCpxMCmeFCKxtC3fvJT7Tk1bygXHPMzF7aen3TI/O5jXYN6k M2u+fQ+DWn0TDUZf7MEwo/4YY1OljQcYvnSnMexlNFzAIHeH0WA46wGMirxfAfzTfMoUfKJToVx0 J7YhH9eKrCHXwFszy/Q3XxUt+apoyVdFS74qfraEqh9KZtnk6P8sh0tJeFNUQGItW+mHn03GYgyv 2UgS20yrWWntfm71ag9GPOwHGNXD/hDTX8A6HnYHBg/7FDMbpfsqOsuvPsSwbwD+BGvft7OY+Twm +PW8eMpeo2tiim1RvSgV17bN3MA8tr/5qmjJV0VLvipa8lWxvIcn+rWk9gIGJQHWdetTig6iwWCH lPf3EdYBpqlKakoXshediRFqsg7nTZr7WNan6m8rr8slDI70Jxgp6R5hKONO4kdt2RsYtGw/VjuG QT4vYoIbGNZXOZwkULpq9pW/BvhvMSJVaXPPD/MEp7GkDe+YoLOgSfs6lrY0WvJV0ZKvipZ8VSwS peTjn5Idi6O5X4KqpsONfkmFpBPg1g5SYYvLGKHG0GxvyWirOVNsVd+4gWGl/QIjsfERDJ2bL+cm 5kulaxMZu4J13IRRGsexxgGs/QkfYejwvgP4fj60vDgVC0kkWsvyFQzq9yl2oFbSF9HffFW05Kui JV8VLfmqWCwDtmUV3OJ6yT8s0YWkQSNGpHQrzMO2vPkSVbvfaJDXGVYqUpivMFT3EAYV+gFGKjzN qA/Rehmdd2FQNeurHcG6KpiaygsYJMtNXkcXFWpnMNLj7cM6M/LV3GUvpkrFyaRvr6NBj7yUbTCV +W3UQku+KlryVdGSr4qfragGmCaranJdM3me6iw1aFvREgl789VWXuK0t0SFnNmpNFOq4buFdZRB KlNmshPi2Q9xtQvrqhDpvRANRzBMsCrKjG64iZ2qzXOqFCNxBEOR9xrgj/N25Y5mWpGUO5XJB00W /SluU369/uaroiVfFS35qmjJV0ViLjniwaukkZNg6KaWEiDvPHebuFlKZ+x8aaGUM8TMIyYsMYWI GUXkQ2ZGOYKhgiNm+REGGZObncaIF0w4ip/zmOomVvPQau5Oo4uJknVDfIShpXsJI/QjqSYP5tsU rqLp11wvkt6tFIb9zVdFS74qWvJV0ZKviiURqkTpHuefLbPsVqI8G7b86xJVS/q1pPqToaS4WQuH AWs1lSzyBYzIA7OWXMHQeOlktw8jAPb9fPJLGNzMDCWudh/zWZLsFaxVnerXzuP2Mk5EnOMNwF/B qJv2jzHfixgmw5OVH8R87lm3PJWUKVFe58MrjZZ8VbTkq6IlXxXLFxhk5wqeKN6SaTBFdi7zD9FP /zDnO4sGXc00+Bo3mwjQcYw4jS538ZM8Bm24h7U6y+2q8dLWq9HWGmRGN5zFsK0abiZFTuXCxFkM +xyHuYkTGX37EtaegO9iUrdLbGMntqtGU8qpXtQGSfRNDGsUREu+KlryVdGSr4rF7LyytBQuejA3 qCNLNld1cwsM9VNS2hmHa2K7nfnKcFGVe8vcAKwVUf6oZFPn9iJmOYl+GkDd2h0MB7i/g8G0DmA4 6L2OfqnexGm8gz0YnAtY5zTWjc7YB2kjsHaZexmtP8UaSsZZiG2kuGPVmr4Ityv97W++KlryVdGS r4qWfFUsKUZCQ18Ke5WmJEa2lTwv2XCZp0rQb24X1u5sqp/0tEtaPwMRbmCwG3elfu0sZrmMVnES De9h+OsZBas3X/Lr0zyqFdSfJWbWBe9VXO3AUOl9nk/0exhJW/4lVvNl38aJjqM1HUbvO6LV0rWS 6P7mq6IlXxUt+apoyVfForEzFarX7Em03s/9tqpWbBkxpSlbLn0uuVWnKy2kaTWlPZYjSRbVlpnJ 2Nx3nkPN4gcYirzfwaB5C6zz3B3BYEsq7TSK+iWdzLfHAB/n3V/Escx48giDCZpahRhmYsDjeSpi qpMYpgJRfmq//uaroiVfFS35qmjJV8ViJa6tgmVmXTOl2lYWlBSlQdzqJLY1diu13laZihSH65+r bG5vniDZnS2j8XWMUHkmO/wC8GcYzOg1DLZ0EiPOY2aDQI5hbZZNkQzWFjuLCVSJ3sGItNBj8Lcw zMuX83w7MBz0dqKLcR3EO9CQq87S2JZmeKXRkq+KlnxVtOSrYlHJBjwpNQusmczO3A9Y6/UOol/K jLzFKLby5nnlBIa9aodNJlPLaLiGeVOIWbTcvoS1hVcG+gjD8e5HGAzqOBZf5s5X8cz0eGo0L2FQ unTelLDk1zCUex761zBq2v4UY5XMQzQ8xGFSoulUzSOlVlnmZ41aaMlXRUu+KlryVbGkqhWJR2yl QkmMTMZjspO757o8u9pW8jz1darM9L5TaUf0S4nytrwDbdDsaYTCHYwyte8AvoV1DrorGMTLNe7g CQ09nuc7jjW+xF48wnlcfYbhCbgP8FWc3FBYHQ0tt7EP8DbehrG0hzFzsrh3LG1ptOSroiVfFS35 qljVtEh+bslbLhn6UkMytzLfGrRhPxVvsj6tpSlfC7B21buHdT682/gxVlUDqGq+W1jHa6QCbdqE P8FISfcdDEXeHgz3OOZh53Fr8rxPsbg14TyC6kAr3h7H7V7cfgvDOvwxZknvxZwwalzN0pw8H1PC l/7mq6IlXxUt+apoyVfFcgJPVHXqw1LRiZScRJPklm8e0ZrIorq5rWEpkENKYliByVOS/Vc66CbN m7LMt3Ifs/RZTPaPMBR5Wl+vYajWLmEQLwvCXsIgfGrQFhh87Xp+tguDhxnn+jZuP8EIqH0TC8kT 09eqFvEgziH1S2XPUnxyoyBa8lXRkq+KlnxVLFsJN7bMsjsbXeyXdHgpW0oidymVhxPsbFwljzLV XkewZkspR4rbTSbJxDH1WtuBQcYeYFhLz2OEBSZMOmIls0cY6ja1eXr46QSYmKrMcgfWirfXMKJ5 fwNP8qao5fRY9/PWzDtjmMcjDI55PY9t1EJLvipa8lXRkq+Kn2taaNNUM6byjPkqhWOmTCbpT+kg uhzCcDVLBFLF1tU8gVnwNGImuI2jWO0B1v51assMB3GnL+N2b766gKFLU+NlrhLT2b2IWfbjHCZo uYkRKX3ffkwqZz2PZw8wVHq/BfjvMHz4ErG2fNtVnE313WXMJ1Rm9jdfFS35qmjJV0VLvioWM+eq +zK6gWgVW0wrueoBa9cwtWXH8SyVmt2DkcnEFHdqnvZhaJ4Mt0h+fZpbEwFKwR0pfEPVnwTNBCMW k/W9mA9P8+1WRO4hrFPSOZWV4CSfFicjuhwB/AoGgfwcB0wEbWce64a2LOQGwvQ3XxUt+apoyVdF S74qlhewJkDJfw1Yu9vZkLzlEt/YnZ+l+Yhb1WOSjkcY7OYC1kpFbYvquSzCpaLMn1QtI5Up252v zDdsedwfYFCwlzGVNteD6GwdjpSg7yAmsGjbIQzC9wmGcfckzmt+wksYfnhvYDgGbpG2h9hBcqfc gTUlJnZ/FJtsFERLvipa8lXRkq+KnzV1SaG2ldMu1WRNMaipS4riVFuWgme1MhLDZG77MKiL5scL WCvPiAnOo8EkIXcxdi+mMjJiF4a73dtoNSXJAvBvAP8KI74CGGpIa5pdRsMdDAPtddx+jkNrQE5J lmW5ZzCMsQYLP8aSclHHEtuwEJkqUZWeyiMZqRsF0ZKvipZ8VbTkq2JJmrutCNpEy1I6O/E4/9iq t3/Kr5x0fWmCFEcgUTqDteVW7ihFlDfpY6g6yy5fzbeJ0X6Gkfv4FgaB1B/O7HZWsjAVyk0Ms36t vDjd+ja8uoWRm+9DHNV3//jcsCU2tMQm92GoErcKgzRqoSVfFS35qmjJV8ViKOdWnjtgzZYeN263 XNwe5s4GMZi2Q9KWPOMOYU3Gkhn1LBpSZl+jG1LAql51KcgWeBJqujt3/ghDh/cZRj688xirFfQe 1rG0ZqjToU5TN7GQSsXL6HwOwzr8vwD+B4zcfEbLJj2c29iZT3QMg3dexbrqNvubr4qWfFW05Kui JV8Vq3x4wBMtHdGqT5vKPQszSNBM5aGpkXimus1YAAtpyfASbTyCkcpXAqnl9sU8gX59KfYh5Tm+ n1s9PjH9IQwN2kdYJ6y7h7VS7Gg+4P48i9slNmm92T/BKIX7PYzMKN/DqEv2EQZp069vi/kaLKIR eD+2ZpG15CzYKIiWfFW05KuiJV8Vy1/AmpIcwVD+yGSS3ucK1gSNmCD5gm1ZKFWjXcDaTW0HBod7 G/NtUcT7ufUsJlUFl1IwP85jiUkfYfjhfT1vXKhVew8jQ52ucJI2uah8V26W9ITvYKjl/hGGr99P MF6J5ziF8dqP4tAmWTEm5FU0SLGdagfGazqMkztLoyBa8lXRkq+KlnxVLG9h0IAvcZW8+FNBsFTk 9Cxaic4pR7Iuc/cwOJxLSplOYe3EllRNuzFVct/bmVuJTRIz6xQncXX3wKBRjlDhdwnwzwB/BSOq 9iwaFhiEyoDfvTib4bH/AsPg+0cYjFEvwn0YL/E49nIJa9bssR6iwbq5Zt/behFb+tP+5quiJV8V LfmqaMlXxfIJ1qbVpHM7gHUuEGNfZVqfYfAco2CdT0jk3sPgPsQI87TJX7Qo6tOmq9lWmIJ6uBRz oTHW4rQ3sY3XMZV+fUSXy9jzT9HPTd7GLO9gmFs/wPClex+3P8JQf6pQ00J+ELs3MMQMKomWHQH8 Oq5k3Fbf9cqAWl9YKvPRqIWWfFW05KuiJV8Vy4/wJG2HaU9kbloP7bflr5eiNORDydZ7EVMZproD g9ikWAC3cRit0sGterPMt2ao28qHJ6vyRahVO4XB1/4JBmU6jZmvYZC7H2B41X2GYdy1rMRJ7D65 DabXpBLVPCzyzlMYWkRJdDovsC5x4dk8eefDK42WfFW05KuiJV8Vy/V8L8GQfaVoBPvZOfG/FG67 VX4ixdJew2B9JjaRl6h0uo5dpRK3Kd1eirTQ4KudU/e4FOKqLfoIhgruHEZg679Gl8v4MZeeLE1a dg2Dc1nS4yjOkbSXSxzLANhjGLzuOGZ+mCfwWJ7DVqNqtdf2N18VLfmqaMlXRUu+KpZv4ImmTXuo 5E66RXRJFVsTybJil52TNfcc1gnmdCFL1EWeeBVXB7C2c8pU1ddJmdRupdocd/PV7TxMnAL8P4D/ ExtaYBCvUxj81EObqtlAicP4sVZZCt/VjOoaaZiOd4nX3cQ5XsczX+KWPrZREC35qmjJV0VLvioW 6Yf1HLwVZi1Rg2ZUrTk5DuZbiZet5oIzi4dMKznKWYlVPqme0FbiGfCkEqtBtqksxzUMjnka+5OV 3sTPFxgedJLAVDjCl6OF9wGGBs3FP8Ogpr4Xj6Dr33n0k2IbDqKeUIu2yY6ldCnNn6rT/uaroiVf FS35qmjJV8UipQPW+rVkltV3y6S+0rLk7Ca3cCqVWN7ewmA8RIPpgl1XqqYm0LiJlLklGTvNGXcO a2upXPRzNMiCPNZ1THAFa4e6L7HQUWz8KPq9jrGXsZpW6ffRz+3KOy2PoeNdSqhn4MVWGIWMcauA cDO80mjJV0VLvipa8lWxWHArFZhN0RL+6AGWPLuIW4NYtfWm+NrEyLaWNM+JuzIKIinjZIw66MnN NBunlHlXsYb6sDcwaNkFjMJm72GQO33pNHsmQ+kBjBwpx9HvHtYlxN7F4u7qHkZ2u9uY4CqOcBN7 VmlnJQsVodbDTUlvfH8u2SiIlnxVtOSroiVfFYt6uBQjK2nTrUwzqlncthIM62WWKJ180iDWQ1hn lFMtlwyRx7GkykItmW4oef3dz7dEZ620xjnsx1FfwtDDWabsMwxTrZn7tnLC7MZ2TT5DHF9VohrD VCjtJrpcxq52YE1XXTdlllHD57FSRpv2wyuNlnxVtOSroiVfFYvxARZXFdKeC1hTP3VuRloAaytt Sv4hfVO35BqqCHUMTEUskiPfJxhMy+RvDkvxFanGl6bQu3msx9JP8CBadSC0loaxtCk2QzacbODi NFoTEzyNsRY2ex97kU4nb0OJqztQ65eKlPQ3XxUt+apoyVdFS74qVnVpX8CaxMiqDD8VKuiezdiR 9HpyC+LW9ChmANGa620igeY5AYayK5XMNfJAhzXPoXZLGmqBCYcdxCZv5rG64J3GWPV/n6PfdQzz gDsbrdZhY17yPLZhrTfiNjE85ltfooZc5dbffFW05KuiJV8VLfmqWF7BOkjAcEzVcmrGZEtbEarS t6SrYh5GTKUCzPn0FNMaaYPBCc4iK3W7ya9vK2GdXS6jQTc6S03cw3g5KV+zbNNsfibKO4tJJXc6 C2paleV6XousaUo+AvhNXF3PByS2pm3beGfprxS2v/mqaMlXRUu+KlryVbEkBV0KgAXWqqYUEGo/ 2SGw9n1TI5dKb5kKT98864NpVnRrMhR/lthfKpmbSqFdxS2w5k1aUOVhLq7KTFrmQvrSJcuoWskz WJdH86hfosHdp6plHvAU4Ot4dj6vmxSXyWgrYySumuGVRku+KlryVdGSr4rFjHKX8CTiVaqRyram Aq4iafPUKKX0vqaa0z3uBkaowXXMkhIvp3pjtsqqtmqBpYjcZF42YbFdbmFES5geT26mntAfw1m9 TZXW9FlMZmNi9yme2Ex7Vi3TlVA4fSLHzqci9HBet1ELLfmqaMlXRUu+KhajUWVBkjENm8lZ/xTW ZbsOYST6MChWfmWB1JRqmHlS9U2q24hWaZ7UTxIjw3PjacnECW2VqaquTElWXNfwDVczXoN50l8B fAvwY/xorz2OSX3FhzHV/nxU36nqVIWiTfhdbCO9pouY/iSeNQqiJV8VLfmqaMlXxfIVrDPspiqu wFp5ZllUc3eo3dLlS7KYijCkuhk+U0/4BQYVItY4iobz2Jo85yw26Z7fw4gdOY89y6W+A/g+npmw WJfDlKbYCWSbaj4TgVyis2/tb2KhH2M144R9p5qN3e6bmPSHudVD+za8uoChEjXD8w3AH6NfoyBa 8lXRkq+KlnxV/GzSlGrcwhMH/sSCjmCwh5STzQS+KVOc/nCHc0My6ersBgxVkwTyJBZ353Ip2dcd DK+1XViHCPtXnuibluqU9SXZUj1+Mv16XiOQ7wH+HFN9B0PLaRLAD9HPhVSEPsKgdL5xi5gRIxIf VxSm77Oar359/c1XRUu+KlryVdGSr4rlEp4kjlNNZW5hE4xoh72OK73CdETbhUFOUmzGzTxCFaHh Fm/gSVphZza2wD0L9XCpixGl1qUwhYjudvrhuT9nThme3ThxJe80qESul8JBzNKipTollb6MBk3Y drmGQVcP4kRK9WPMfDWfqL/5qmjJV0VLvipa8lWxfB+XuzCURMZcpBIXUoMbGOqxT7AmGHcweImh Bqq9DLJVfWdErobS4+iSct+lrCqpdJlOcW5cDzrDN4zIOIhn9iPm02TqfCZtNqexeNzoQiyurtSi aGZkSTzRJMtfYFBE38Gb6KK1WaN38ua7nseqNmwUREu+KlryVdGSr4qf8+GpplLFpZpKM6DKKVV6 L+LKzjIZolX+IqGyHlqKfdC+6uI2JNc1FYOyKn39kk1zFwbjMVdJ0rnJSl/DIGPJ2/BDXKWsxYl8 7scs38VePsBwy/sJ1gzvMjp/ij3/FJNqd5bN3cMI5JATEl3kxQfz2GZ4pdGSr4qWfFW05Kti+RU8 SV13G89kPPrXmYPuMwyi9DYmuI/Wq/nZVlYQbZUq4w7jR+IljdLnTtr4CIMOHsFgUG5XdZbpTFIe EfMcp1YNoKrC9ufWi3gmwzPmYheGtZm43YXx6lKZX9WkMrLv4gif4plTJeOu7yUlcpETGuDS33xV tOSroiVfFS35qljMoZGys6keU8uUMs9pfbW4llTN24OY1IS7qYorMIjIQcxsBK0hqXewDkQwcuNL NFimVj830zJr0k3OeBbZcKcyUGtaSKOYz+HLUeHnpOZc/ilGPMIwtyYGegvwVRzrdzC4mcRV3pnS wWw5EGq+PYA1YW4UREu+KlryVdGSr4olZTKW02h5JG4NIbVLSmenFVSqscRYr4B1AAQxFfM25GEp q4rExoR1Ium0dLd7BYNzfYw1buPHhC+WgTXCQ9WabDO5CCZXuFNYO9klX7+PMDgcsK59oXLvLawZ mUlWiElTqItEPaXR05jdkRal0ZKvipZ8VbTkq+JnP7wPsLbNWrVCGynwpAatZCKp+fRzS2mFJSJy rt35Z6us7EmMuIKhMTyMzqr+TMannjAF96p8/BRdrLmmjdkwhVQ9wjiHr+aZiT3LoFIgh95yF9Hl MwzGeBRnexGd1U8+wsh9chH9FICsVCKsClOfxaO47W++KlryVdGSr4qWfFUsllm4m6+SjU+NnCET MqPk7JaMmDrUyQ5TSQqTycmMNNV+gKF4IxquSQAAAkJJREFUu41nkic1XgsMtiSb00fOxW9h0MaL 2MtDPEtOgKrvNI/q06a2TKYlg7qfb9NCxBq+q8Q2P8az5Ito3LEZVNQn3sQpH+Yfbb39zVdFS74q WvJV0ZKviuVvYa330Y5oahDVcnr2f4G1FkzfPJHy3EmUDNDQaY/oB6xd10xY7BqWsyVmloYexhG0 O0vVbmAowIhZ9uAJ55JkpWK3Wn13N56dwfq9yOsMPpEYvorppcTGBO/Px1cevgijNA5iXQ3mvpeU QCa9v0YttOSroiVfFS35qlhUA2nilNjIFExdLF+7nDubxER2o72WaDUzHrHGIwwCZNmGw5hAgnY4 z3wZWzOEwDgMVYSfY7Vkc03F0/T/S8fXZi1Bkzuaqvkqhmnr1QPxON6GlttUPPckrrRAG8ir/Vy6 qvk70VBzDD7MIzxCoyBa8lXRkq+KlnxVLP8zLlPRhGTn1EHP4rREP1mQGiWtqqkqRCoIIfOQuUnp 1OvJ12Rp9ruab1OIsFTNY6U0JdIevwZjVQ00IXYlU9VdMaXq2/LS07wszXND0jxjQhKntoab5wXW DE9b+c7cxSSA/c1XRUu+KlryVdGSr4rlGNbqJz32pS6WY5V9vYZh7FQFdxSzGLZpRjlVhFZONYWI jPEGhhHY8qlGKBiMmzIen8LgdRewpm9JsWU4sK5/e/MI1ZApDzNxlVLmJe+7VDhCO3ZKbGJkiVuT BBpFbA4Xt/EFhg3XXDTEpCdx9Sk2qXK0/fBKoyVfFS35qmjJV8W/AwxzRm8EPvDGAAAAAElFTkSu QmCC " preserveAspectRatio="none" x="0" y="0" width="100%" height="100%"></image>
</g>
</svg></td>
<td><svg xmlns:xlink="http://www.w3.org/1999/xlink" xmlns="http://www.w3.org/2000/svg" width="505" height="355">
<g style="stroke-width:.025in; fill:yellow">
<image xlink:href=" AAAuIwAALiMBeKU/dgAAAAd0SU1FB98EHQoXGRQwhFgAABM4SURBVHic7Z1bjxzHkYXPTNeQFEWK ki+yYRh7+T/7/4F93zVgS6Rt8aqZ6e592ERFVzAiJrJ7KAE+53soVHXdsuZMAgcRGZlX/wUAVwBw 3O4h+O0R91D+dib1vY2zx4evqzkGm/m2dC9JX47tXsT19OPFvwZSnhUpz4qUZ2VJLdgh+O0LGz5k v/0S1K2aeopZK2eY7bdfH/V5VqQ8K1KeFSnPyvLfwY+RB5n/ze1dAeMfzTa77WZZ99x1DX5939QI SH45w1fH6yLU51mR8qxIeVakPCvLft2N3Eh6IjVy0QMADA+yXzdX242zeTfrnjN8jnl79IWdYPTR duIYXPdrxSzV51mR8qxIeVakPCtLQ3rLPLowVZrTbCQ7o4ea/zusm2XdADj7P7U2n1HTHpva6/0K Nk99nhUpz4qUZ0XKs7I8fMkJx+Cw6/qQ/eZKA+pKARf6q2kEGqO2RLnULo3SimN2+IvZvCOgPs+L lGdFyrMi5VlZ6iBbSl1ui2CvvsS97X7du16vuwZGXG9XNm3e17l7u+auW7Vav80ecElxx/x16vOs SHlWpDwrUp6VPIaXuq+IyOzU4/qiYJzzV3tgeL0dMMydS+6mba7DfHUosSYKNEaxzahB0cvTUuJH DOlF36Y+z4qUZ0XKsyLlWZnL0k5Rp3SxHrpKW+MAnI7NW4KHGmn9R3TdmRy2h7tgc7W9eA8Ad+ue mVT3qfNzx1w8WFB9nhUpz4qUZ0XKs7J8kbICALEHSQsMUm9mNRfpFMJdc9fAveOwPVwA4CkAfAUA XwPA8/XwCTBs3hEYvu4TALwDgLfr3s/AMHwuA31mwtywR+22h/b41E4LGqQ8K1KeFSnPypdxeGc+ 9AB89r94XE9cbO661s9FG3fAMHKvAOA7APjNevgSOHV4NljwDgA+AMBPAPAaAH4AgB/X3+7WO9Jv a2B+LZpeJv3jqM+zIuVZkfKsSHlW8iztJWWlUxWl7mJn8yyGV/M4kTsXMXwGAN8CwPcA8EcA+D0w HN4L4LPwnT3vHhjxuvcA8HdguMPnAPAXAHgDDJsH4KFAXsQVcDqfzDLzFPV5VqQ8K1KeFSnPyvK+ PF2XR1xn16XUM4UgODTjlTZjat6Uumn2oufAcHN/Xjd/AIbh+xoY+VoLmbnPshn+Xq6bF8CwjZbN fbNeF6Wh6/GECzDs5VJeHKE+z4qUZ0XKsyLlWVksSXiV7aWceZuRlhBEbsnd9uXM3VfAcHP/AQD/ Bozw3bfr2ZuyBfabJU9vgHio3i0wkra2EnCjzbv1oRa5s49poD7PipRnRcqzIuVZWdKRbLV1qXmc iT4aU7BETL33uN08AUYK9s8A8O8A8CdgmLtnwGm0rFHiatfZKD0AI4f7ATitvvgEtGyey81GadmG zVOfZ0XKsyLlWZHyrHRWLXPMz/HWvSQ9YY7RVYXWj5piB4w06vfA8HXfA6OgomHuGm1Z1nf8DhgD 9P4BjErbWyAuG3YRTTN3liKOqG2e+jwrUp4VKc+KlGdluflFX1c7o9TcRTPoIduLHtBo0BMA+AYY 7ut3wBg8Z8PtLk4MXwEjtfpyfccfgFFf+xYYgbx0Xmc3H8ouuMSyzXJ4IkLKsyLlWZHyrDzSbCmX hNG6dRPRpG7RAxwuD+tOABhG6QkwjNd3655F7uqZR+Y//ykwooO/B4DfAmNClduszW5wX1rhYfO1 1IXQ6vOsSHlWpDwrUp6Vixye8xbp2fTeyKVF1Euh1RYxWmXMPeAaGJ7r63XzDBjhtsjcdRsefQKA YRufA6fz670ERiDvftvwaCY7N+OdXXcI7ohQn2dFyrMi5VmR8qws9UKvRlQoO7UGbXQiujd9eRTD u9qeTYsOGg7PFqx4BpxWRqTBwu7HpCb6KTB83W+AkSJ+DQyHFz0g+lTbHLPfomaoz7Mi5VmR8qxI eVaW5+XphuuLiGxFmiNtUNfSprbH7m04PJt+5GY9rE3lVAVylCe21TK+XTfPgFFkG3lvl6qN+m3X Y6rPsyLlWZHyrEh5VsI1LaaGlaVW7XHMHYB++C6qh0jH4WH7gNrINcYJTkUlbcicBfJeASNF/E/g NJBXLy+SJq5r1OdZkfKsSHlWpDwrocOLFpjohoYe0dc50vCYs3nRP3Nq8+xeAKdzlaRROjRPRC21 ttjhAgxf9woYc6ncAJ+latOHpgna2uapz7Mi5VmR8qxIeVaWffCj8wyPM3/xJUTZV2PK4WG75zzS PTCWEHMLpc1Tez1rwTUwcrPfACOa9wQAPm6bm67w5h7aba76PCtSnhUpz4qUZ2W5C37sVkY0AlYX k4ak0lRtI4YXfYJbR8wcXreRUxc7h/cEGOE7m6Xlp6C51tJ0aGJt89x7BSFSnhUpz4qUZ2WJnEJj ubDa8HVXGeuW0brxdVF1a1pL6x5VDxu8BcYSYvcPX5wmXudbsAPGircvgVF9sQNGPNFxWDfR47vD AdXnWZHyrEh5VqQ8K0s3/BSNqktzhgjORpfg4bOuFCK9rR5+Vps7rGdvgZEetUDe4wQko9Fybs5l m5HvK2AM0LsPWnBcm5bG69xfQ7W0wpDyrEh5VqQ8K2GlRZeoIuNM0nFkqcOLsrTdOlKsb3OYw/sE jAhaHa/rTiVYcwWMVO3zdZNKYzG8tC2qpRUpUp4VKc+KlGdl+QQUpRVR+rGeaxfb37A94airOSxB G62/WjeoJh3ddgeM2eg+rod1KfHUiRoL5NmCGukXmcMzoj97qpH6PCtSnhUpz4qUZ2Vxtsz20vFc 8yuUuXvri+0Sm+IuGofX2NRtdieugBG0+wAA74ExIu+wtmXqO6Yutu+9AUY0b9ne5qxaYzBenapV n2dFyrMi5VmR8qw8MA6vLqiYp5uwTB1edF2arzWs/PSw/c1dtwdG+O7duncPPJTNbow2bAwCtNYv wOmqGtFDoxiea4E9L/pU9XlWpDwrUp4VKc/Kspu+JXVayPaiwxpn7roxvDRfa+auDu4dgRG5eweM QN4tcLpMbXRvN1WbLq0RtSUyaNEX2cXuuuv1EvcorIeCECnPipRnRcqzstwEP14SpUtx5iQ66wbe LevGheVqX5cW3tp/uc1BEuUvb4Hh8N4Co+biq+07ujSKT1x40U23nDo8d2803M75OpfSVZ9nRcqz IuVZkfKsPLBqWZdudUN0mxkRi9wt200aw7sONrUPi0JhzubtgRG++wkYXu/F2gz3qDRU10jVunkH 74ARQIymaumWkrg7XOROMTwh5VmR8qxIeVaW7toNtWWqPWE9gs4ZNOfwbDRaZF0iXzfl8LC23r7D BuP9Exg27xUwqiCW7Db3jmgmE9tzh3tgmLv3wKj12K/fFpXHRp+V1lK4lh63ZwUXUp4VKc+KlGel 4/BSE5NenEae6hF0VmWQOrwo4NeYLaUR9nIf+DMwzN0/AOA7YExikq6MFtGIhh7Wt70Dhql8D8QO z5rb/UrLfLvaDPV5VqQ8K1KeFSnPyvLyvPu665IZqf0w07YDRqDMomW1uYscnntbao/SyfiOwKig fQcAbwDgW+B0qQlrWjd6GcXwDsDIyL5fX/RmfW+6oEZ3gTa7OMoOq8+zIuVZkfKsSHlW2quWAXjI 1015vbq0whyUszORw0vNnR2mEyqnBu0AjFTtG+B0udibda+2eY3HW0nHjwDw13Xv4/Yp0ZOjxDW2 r3T37rZn1edZkfKsSHlWpDwrDzi8qWVlU9IRdG4+lCgtG12cFtmeSRrIuwVGqvYH4DSGh+3hVNLW xty9BYC/AcD/AMD/AsDfgdPVaKPFQtLAJbaHaZEtZtos/tWQ8qxIeVakPCtLLX1a/JkSDcFL/Zrb c34tvTgdoHdJOUjEERhlDz8CI3xns8y9AobNuwka5DgAo1r2EzBs448A8BdgOLwf1rOu4bbn/ojd qtoI9XlWpDwrUp4VKc/K/4/Dq5ek7e45psotonvTyJ1b7aFLNN9w9DHuxB4YudS/Aqf51U8A8A0w bJ5bauxqvfh+veMDMGopXgMjfPc3YGSCP2zb4hoJoEhNN3AXq8+zIuVZkfKsSHlWlv8ETm2Fldbu 1xOH7ea43XMblL8hOEwHsdUO74sE7VLugOHN9sAwd2+BUYLxAhiVtrb2hdVr2Cwob4FRm/tm3XsH DP9nDY/2uhP+GYrhiQgpz4qUZ0XKs7Lst8fOm02Zu9rXTSV867mP50ffRU2b5w4Y+VUbRvcaGIUX T4GRrzWvbGnZD8DpZHcf16e4lceiPZfqdg7PLWzhHpCiPs+KlGdFyrMi5Vnx8+FF5i46nDJ30WFK Gr5Lc7NRbUH9tuhsbQLdihcfgNMBda70A8BpgvYeGF7PDp0tS80d1oemkbszq2HU51mR8qxIeVak PCvLa6AYX+d4nLRnN8BUV1WkREWx8+G7hlM1v5beZubYNa0xDBHB2egOZxbTcZEO9XlWpDwrUp4V Kc/K8unha4xGaUU0T1vkkVIPYg9Ii2wjohoJO9GweY0cc518bqSm0wqK6LeGE3Qucqr6Qn2eFSnP ipRnRcqzsvwR+KzSIq2WddGoaKjePvgN20fZAxq1tPV8KFE4C8FvdfY1NXeH7ERdJ/KLEZk768uq tBARUp4VKc+KlGdleQG05kNxRBUZ+3Xjhp/drZfUfqhOTnaZSi9HDi8tKqkfFTHV8JQo6Onkcd67 MU+g+jwrUp4VKc+KlGdlSQf6Y+a3IzDqSC1yZw7v53VjVQZ2WzRu7hBc12hVRBqlO2SbyDKdSZ2l PQYnImMd+Wz3W1QwY7066t/q86xIeVakPCtSnpXlsYsn6uUnPgLD9Tmi9KglfM9sZJqbdUlll1mu 87ppeLFhOeerjaPBeNFSvS6al+Zr7Tr1eVakPCtSnhUpz8ry8CVnTMeRFgmYxbn/7KbPzJ3leqdq LtyLohGD+2ATObyIqBQiOuvakraqHgkYPdmlYN3fZbc9ge2eHJ6Q8qxIeVakPCtnxPCi3GKKmY4n wGn61lyVu9j83+16r/kXN+mcu801MvJ198FeVBhSO7x6/jrXDNegRg1HwxNG+WS3F5XJXG/3BCFS nhUpz4qUZ2VJpT8zM5oO2luAYfNu1000egzribvt88zOmM1LQ4RH4NS+3W83Ufiuzs26b7s4N1uP MWz87V0M7wgMN5x6QrvORfgEF1KeFSnPipRnxTu8dPD/FGnt5gKMiowd8FnhhXvl/fZwDwyLeLM+ 6jq4rRG0i9KyyPaiL5pyeI6ufeu2IPotmjzFKa0+z4qUZ0XKsyLlWVmisk0jmqfjTMxvWPWFI2rG PXDq1+62D3CBvHS4XVQtG8XrUvcV2a1LpnRpkM5e03Wb7rb99jf1eVakPCtSnhUpz8oDlRbpfHiN 2yKsyHbqX86Stvfr49Msre2lRQwIDlOie12MbMrcNWZpji521RLpjHfpb+nzBBdSnhUpz4qUZ+WB SotHNHd21oo/3Tvqe81pWeHAJTScVu0OU/fVJY2QRrXIaX1ynTFOA37q86xIeVakPCtSnpU8hnex uUvNThR4c8HCyPvUz0vpfkc67rCuvnC+c4poDV9nFlM3l7alzrPbd6jPsyLlWZHyrEh5VrzDu7iC tjuDSlThMeXhuoaqnsQkvaO2dPVDG942SvPWjjZNFjeaEX2M+jwrUp4VKc+KlGflojUt5ksN0oFy UwP+6veeWQTcmCNlKlQXJXLd5MSRr+u2yp1NxximyWf1eVakPCtSnhUpz8oyn2C8uIS0kUy8+PE1 9WwkjT9JnUF1k8658pI0aGd0p0JGdti4RH2eFSnPipRnRcqzksfw6kk4ukTj66JNN7nrfFNqmdzj ozlS6jiXa727IypddYe7YNMN39V/sHTCl+5nYW2LIETKsyLlWZHyrCzPtseNyX/T3xzO9qTrdLm9 tEjU5tKzjYXH0lFrh3KTuk3XoNoEpr7OGjk1q8qZ+W53wi1dZmejgZCCBinPipRnRcqzsjSqGyIz MTXYLQ0/2dn0eeabbrabNCgWNbe2efuZ9rmmuVCiTcZsvjNq2hRRbYZL/bo44RLsXQdPEYRIeVak PCtSnpVOpUWUpa1rJNIaz8boMfcAM3dP173I3EX3uqlBnIebCu5F7XNOKxppF902ZfPSF+2yE9Ey H7a4hyv9EIRIeVakPCtSnpUH1rRwmGeIygrqeUTSDbZ7zoMswOlqtF1zl+LWaU3Di9GCtelkJ3Xx RGR/u8ba7Jtbqs1e6SKGlpuNnmeoz7Mi5VmR8qxIeVaWyBA06ki7Ni+1dDVmXdyYuylz5xoUOa0o plWPQEwraCPmM9ruRXWALl0dpDF0Un2eFSnPipRnRcqzstysuy6IdYnNi6jDd5Ffq92Nu3i+pdF1 jec1LkmrNGrL6R5vLrdeg/ZM1OdZkfKsSHlWpDwryxPgNC+5X/fOrAqIqA1VRJR+nLIzqe98xM+q X94txk0xXxeN62vMudJ4vCBEyrMi5VmR8qwsbh1UAP2E6pR1iYos0t+iEW9d0sKQ6PDL8YjFs5cY OYcrPhGESHlWpDwrUp6VpR6hdrEValTLpifmPc3juKAvwuP8OR/xA9XnWZHyrEh5VqQ8K/8HVU53 I5K6Lf8AAAAASUVORK5CYII= " preserveAspectRatio="none" x="0" y="0" width="100%" height="100%"></image>
</g>
</svg></td>
<td><svg xmlns:xlink="http://www.w3.org/1999/xlink" xmlns="http://www.w3.org/2000/svg" width="505" height="355">
<g style="stroke-width:.025in; fill:yellow">
<image xlink:href=" AAAuIwAALiMBeKU/dgAAAAd0SU1FB98EHQoXGRQwhFgAABEgSURBVHic7Z3bkhy3EUSTO70USYm0 JFuy/U3+/yd/gUMWJVEUb7s79IMQqOnaKrAw3bNkOPM8dPQVjZ4cRGRU4fLoXwDwCAA+bthzRFfH T+zImcVH3zamcMvn4mOw57h6kIqILw8pz4qUZ0XKs7JsNndVI/cQ5u5M5s3d/wFq86xIeVakPCtS npXl38HJNCxne+nmKtgc1nuH4JaC9ftc7jB97/hnKhTwEKSeVW2eFSnPipRnRcqzshz7rhkRZwic SXgUXI32Utd3AIAl2DusH/tCiH6N6IKdG9f+C/k2tXlWpDwrUp4VKc/KYrs7Jiedzzn2QzN8N8Cp w7vue0u/5XL/ygubrPSXHHvlHYle5GqlNs+KlGdFyrMi5VlZPn3LGdYv6tjmDo99c9c31/3cdS9q n7/mZ42bRb/fg407ca9Ef6/aPCtSnhUpz4qUZ6Xi8Byp4RuPw3BxJHN9x/Vh2mds3g99IflQY2pA 8uWwSKogRMqzIuVZkfKsnOHwHGku0FmXsZO5C4qKNlUezDIVApzpoOIL27zxwGC1eVakPCtSnhUp z8qS2or53GzUwWyqlCMA3PYCLNT0CGid9gpEQz9StnxloZTIZI3PPZjNU5tnRcqzIuVZkfKsLBeZ /G3cx3/MXX/MzbRif9LC/CVVozTlRdMOdVfBfS7lnAYzo99qb5vn6qcsLTVSnhUpz4qUZ+UyDm/s X6JDx916Y131xuZu3uFVK2QvvwJOR/3aIGA3dvgWaCOGPwCn3xFV3L1js82LYqDuF1KbZ0XKsyLl WZHyrOw0ljbqauYupN3y0rRn5PDSl8+bu0L9DHNzTwDgWd88BYDHQIs2WsXfA8BbAPijb94BzfVF n785cpdOOe1sHvo5QYiUZ0XKsyLlWVnu+u6WeXrHswKnQw3SAtxcKqnDS2dfnieqs/X/ewIAzwHg LwDwbT98BgBf9fvQ6/wOaL7uFQD8CgC/AMDv/aqbbXpLvtZqGi0bEtlftXlWpDwrUp4VKc9KeSxt 6uHSm+fTj2Obl7L3KhiuE+BToFm6v/XNd0BzeBbDs0Z0BFpu9i3QHN5LAPgaAH7qh2/6zVvSsmbu 3IzR499FbZ4VKc+KlGdFyrNy7mwpl5vFLZoZOZoorzqNyjhYGN3nzN13APB3APgHAPwVaIG8Z0Az d+aq7B23QLN5L4DTgJ/Zwf8CpzYvqlCh86Ezd4fhE4baPCtSnhUpz4qUZyWfLaXA5eYgdvMhuyxt oZTCcFt3znVieww0I/cjAPwTaDbvW6AF4yw361Kh6HV+AjSf+KQ/YcMy7NveAvWf0436cIv7Vn9i tXlWpDwrUp4VKc/KTjMeT4XRqlnV8ToXUSnzc6S48aZmmb4GWvjuRwD4AQC+B4BvgNPIXRpKdGNu l/UTR6CNubgBTgN+6XzIrvYufHdYXygMjlGbZ0XKsyLlWZHyrGx3eBFRz/5qVhVAvKZt4W3VCrmN c3iPgWbkvu8bF7lz5i56W+oiLYf7DmhZ2nfAYEKViPFA2WoBghApz4qUZ0XKs1KeD28qPBYZqqlS ANxbAC19R1qNtAbOFLnDr4DTcbMvgHvmLppCeFyXQy/AHN5bAHjdN+/6Jo2LujqnKeJCIE9tnhUp z4qUZ0XKs/JnDG9qrt2CfTvT0kWMx/Cmh1GoLrV07sIToMXwngMDczf/lVe9KAsR/gacTqNiqdoU 12PwzMarNs+KlGdFyrMi5VlZngGDzl+FWNDUOq1nUg0MnunrrIAD0LK0T4HTye4K5m4qWWzz633X Ny+BNoOemxQ5+raCuRuLpzbPipRnRcqzIuVZCfvhpenR9L7xuS2kZgzrw9TSpRnZqABzeDb29bpf GBtNBIeOj70G10BzkS+Alg7+BmgzI98MS4nsqnuHuzkSRW2eFSnPipRnRcqzslTd3PiWi6xuC+BT MbfoFufroj1kezYA1tabjTq7zZu76EWPgZYEfgE0h/cEaB303IoXqWdN3zFec1dtnhUpz4qUZ0XK s7JsXlLhcqT5VXc1MkCpzcN6D8EFe/ZMc5f+ks5zLUCzdF8DzeHZJHvj4SVpptpe5Hydu0VtnhUp z4qUZ0XKs7LcBifHoaH5c2cSRa3sQmrLUptXqF8UJyw8kR5GN5v7cjnhp8Cpw7sLKjSuXyFFbKjN syLlWZHyrEh5VhaXCwQQx33Sc1PJySrVvGQawzsEV6vViJbRcG9L61wgsnlfAfeWvbhdv3IcvUxr 4N5mX6Q2z4qUZ0XKsyLlWTkZaTHuol/t3uUKsCembF4UlkstjrvPpVarIS6r6RFoEbSpOYgd4wEQ dovr+nfdz1XDd2k0L32lDfgQhEh5VqQ8K1KelXxNi4Iti25Je4BVl5V1zi31a1hfSNd4mHKWNhvx B6CNab1b177AOJbmDp3NO/TNfG42CnCmeqjNsyLlWZHyrEh5Vi6zLq07NxXDc+bOOR67ZewEo6nr 0tq7w1sAeA80m3cLnB3Iq74XQPxZ0YVCDM8VGumhNs+KlGdFyrMi5VnZaV3ags0rXDDDYr7OphqO 7ExhaMUYZ3s+Ai1y9w5os5a8B04DefOdCq346JxtXNe/cWwu2ht3EVQMTwCQ8rxIeVakPCu5w5vq v7aZKHJnWcvU3BX660WMe6jdAM3c/QE0r3cDtGGvhdRv1Ql+BJp3vO2bu3WFqnuFWkUJbkGIlGdF yrMi5Vk5cXhppKjKmSEu59LM3C3rC1GustDxLh0i4s7Z3h3QfN3rvnkOtHGuzkWmS/qOZ4e2oJ3l hN/3w2P2HWmWdr7Lodo8K1KeFSnPipRnZTkML19krYo00+rM3Xi+4TQ3O85VAhiMeLComjm834G2 6MSTXqv0RVPhOzN3b/vmw6dLGdu86GZ7paE2z4qUZ0XKsyLlWVku4uEAlDKKzqAt6006onRs7qYy qNFQ0yPQjNdroK0U+xxoUxLbdCZX62cL4Tu7egc0N2fp4D/6e924jkJ3u0Jq+mpdNbV5VqQ8K1Ke FSnPyiaHNx4BMA41mT2yjnc2IVw0vmJs8woOb8qH3QLNc/0KnK4Ze91Lebx+eXV6GWfufgeA34Dm Jz/0m8dGLjpXsHl2QW2eFSnPipRnRcqzsqThouhctaN/2j8sMmiWm3XmLi0qMnfj6VFSc5eG4CxV +woAfgZO15uwm90MxSlW6A0AvOkl/9I3r/vViGoytmDzAKjN8yLlWZHyrEh5VpZvdi6w0HvMHFlq 7tLI3ZnhO6OQpTUskPeyV9Layh0APOsX0g56tgqajdL9DWi28SegObw3vVBH+kNE9+HTV7H+DsGF lGdFyrMi5VlZpsZfTpEOqHDmzrK0UShsXEphkMXYw6UXAJz2yHvVX2QXboCWVX0KtKSts3kucmdp 2ZcA8B+gObxX/UVRrnf8bdEXpYeG2jwrUp4VKc+KlGdlcWnK+W55qRuJ4nVuxjs7TINOrtPeOHw3 7oJnhU65vjugeTMr6hZoOdw3wL1eejY++bi+2fr1/QwA/wU+Fb5ztYq+srAwcHRObZ4VKc+KlGdF yrOy2AjLyPsUeuynIyjG4bbqyhNpbjYN30UpWKzPzWM2z6VbXwPN4T0FWlc95/CiURW/9r03QDOB rvbVDnURhUCe2jwrUp4VKc+KlGdleQ6UHF56LtpLx1dMMR6gUe2XtuN0MDb6wk2Z9xRoMTxL1doT ZgffAC2Q92Zd1PiHHYfvbFPofWeozbMi5VmR8qxIeVaWH4B4ZYfj+tzH7L7xBceZSeDqUIOpQrdE 8yyQ9w44HSfiRgLbkmQ3QOtpd9PP2U+chiGrY0fmP0ZtnhUpz4qUZ0XKs7K45e4j51bwcHv7OmMc zjrT5m2ukI2gsNntxsNoj/1mNz+NFer2CkQaVTPfavOsSHlWpDwrUp6VxXXvj9zcw1q6iB3Dd5tJ vzcNeh7XhwBKHeXGrs+l020l2+qUKWrzrEh5VqQ8K1KeleXtp+85k4fwYdWoVfrsOEgZPREdpr54 3teNL0QVclYyCtC5wScIbhE0SHlWpDwrUp6VxRKMhc76U93FpgJ543lOImuVTl0c3XdmXzUrZbw3 jnwiqNqORDYPwMDmRVcFDVKeFSnPipRn5c+RFkY00sKyjG7PpR+nJmZzRH4oMmhpuC0aPJEmVOf7 GBYsXfrevc1dIU9s59LpoNXmWZHyrEh5VqQ8K3/OlmKko2qdr7MxA7f98G59SyHtWYjcHYONXTD/ Mk6tjiOB48NqIncfX7d57IgboGuxTWfz1OZZkfKsSHlWpDwrywG4120/wrkb5/Vs3rfb9SYaOBoV il4DdzV6kYtLHYNnXSlbNlFN03PR1R1jeAWhANwbeBGl09XmWZHyrEh5VqQ8K0sh0gbgnkmwpTAW oDmKBTid/O1D3xsvx2VEOVczd7f9vW49jDQROY7IRTnmcc+9zR35ChRmLR5PL301vCqHJ6Q8K1Ke FSnPyrLlYWchokVnHwGnwb0qLlZ1F7zNLNghuIr1Lam5G9s8rPcwPDf+mPG5qXeMh7qMfZ39dGrz rEh5VqQ8K1KelU0Oz4i8XmS3qtE8ewLZY5a+NT8Z/Y/Hvm7e4VVzs+m5cde/qVsKg0DcLH1yeELK syLlWZHyrOzk8AxzeNf9XBpBc49FpCbGdctzgbyogKqvG3uulEIXxvRcNYY3/tWiLz+sDw21eVak PCtSnhUpz8pSkH4+JelsnnNk0egLeyzF2bK0b15hUrwz3dyZ/fDOJPqOQi+9KmrzrEh5VqQ8K1Ke lUoMb2o6u2jWtQUAHgP3plaJShm/zcxdNFx0HAl0e9Gh47Muj+bYuy5q86xIeVakPCtSnpWlMPVG gXG86QA0m3cNnNq8iILNs/uqud4pxgtlPCzjYbTjvXEOV22eFSnPipRnRcqzslwk8xjNtWs2rzBN 8ZnsY/icr3sImxeZsfFicVNuLrqgNs+KlGdFyrMi5VnZfaSF4Wyem0vF5iq2mze/7XLsaPOqbm48 40la3hjzwGrzrEh5VqQ8K1KelQs6PADxRMmH9QUAZzuoi/i6CxcaebhxgG5MFAgtPKY2z4qUZ0XK syLlWTnD4c2bjmhS5Kv1fS7gNzZ8VQu2o1XbYj5TS1cI0J1JYWCw2jwrUp4VKc+KlGflEw7vTL/h OrHZOTcfMtb37WPuPtfIiKqlm4/SOTYvsgFAbZ4XKc+KlGdFyrOy7GiZ0nRhZPOiC2eauy2WactY j4KluxpePTMZO7/2hSvFqiYIkfKsSHlWpDwrn5jxeMoARZG76GpkMOb74UU2Kp322L2o4JbG73U1 SH3d2OG58qJ3uIqnVL9DDk9IeVakPCtSnpUTh1d1c4X7XIAuuuqKikJ60RNplz63KTi88cqu7ol0 AGxq5Fw1Nve0K4Qw3cujn8TdIgiR8qxIeVakPCuVLC2AgRlLSQdPREG2QgzPHrOp9Wz2FWdn7AlH 5Oam1i+LQnD79K+bIrW60V4U21SbZ0XKsyLlWZHyrJyMtCh4rnmb5xgH7dJome2ZubONOZnUQKbV cIfVNc32Sa3OE0XpnMuN/G70k6jNsyLlWZHyrEh5VvKxtGnedMrmRbeMY3hp3Mz8i3N4U+YO61vG scNq37fxi3a0ec7cOYPrXJ8LZrpqqM2zIuVZkfKsSHlWKrOlRAZtS/jOHRYmSnEOL8rNXiQpOrZ+ aYDzIlR7IKZz0TjU5lmR8qxIeVakPCuVGY+jDnXR1SmqjiwdOLDZ122eKKX6Q+wTyEvHUoyH6qao zbMi5VmR8qxIeVYuvWrZmDSQh36I9WHqadwTFw6o2dse7EW2l3q4qrkDoDbPi5RnRcqzIuVZOdfh 7RiXqnZne7Bhqlu4nOvb+/PV5lmR8qxIeVakPCv/AzlaSwjM9vztAAAAAElFTkSuQmCC " preserveAspectRatio="none" x="0" y="0" width="100%" height="100%"></image>
</g>
</svg></td>
</tr>
<tr>
<td align="center">
        (
      1)
    </td>
<td align="center">
        (
      2)
    </td>
<td align="center">
        (
      3)
    </td>
</tr>
</table>
<div style="margin-bottom:30px;text-align:center;" class="caption">
(1) Iterations = 1. (2) Iterations = 50. (3) Iterations = 100.
</div>
</div>
<h2 id="sec_attention">注意</h2>
<p>Note that filter operators may return unexpected results if
an image with a reduced domain is used as input. Please refer to the
chapter <a href="toc_filters.html">过滤器</a>.</p>
<h2 id="sec_execution">运行信息</h2>
<ul>
  <li>多线程类型:可重入(与非独占操作符并行运行)。</li>
<li>多线程作用域:全局(可以从任何线程调用)。</li>
  
    <li>在元组级别自动并行化。</li>
    <li>在图像通道级别自动并行化。</li>
  
</ul>
<h2 id="sec_parameters">参数表</h2>
  <div class="par">
<div class="parhead">
<span id="Image" class="parname"><b><code><span data-if="hdevelop" style="display:inline">Image</span><span data-if="c" style="display:none">Image</span><span data-if="cpp" style="display:none">Image</span><span data-if="com" style="display:none">Image</span><span data-if="dotnet" style="display:none">image</span><span data-if="python" style="display:none">image</span></code></b> (input_object)  </span><span>(multichannel-)image(-array) <code>→</code> <span data-if="hdevelop" style="display:inline">object</span><span data-if="dotnet" style="display:none"><a href="HImage.html">HImage</a></span><span data-if="python" style="display:none">HObject</span><span data-if="cpp" style="display:none"><a href="HImage.html">HImage</a></span><span data-if="c" style="display:none">Hobject</span> (byte / uint2 / real)</span>
</div>
<p class="pardesc">Input image.</p>
</div>
  <div class="par">
<div class="parhead">
<span id="ImageMCF" class="parname"><b><code><span data-if="hdevelop" style="display:inline">ImageMCF</span><span data-if="c" style="display:none">ImageMCF</span><span data-if="cpp" style="display:none">ImageMCF</span><span data-if="com" style="display:none">ImageMCF</span><span data-if="dotnet" style="display:none">imageMCF</span><span data-if="python" style="display:none">image_mcf</span></code></b> (output_object)  </span><span>image(-array) <code>→</code> <span data-if="hdevelop" style="display:inline">object</span><span data-if="dotnet" style="display:none"><a href="HImage.html">HImage</a></span><span data-if="python" style="display:none">HObject</span><span data-if="cpp" style="display:none"><a href="HImage.html">HImage</a></span><span data-if="c" style="display:none">Hobject *</span> (byte / uint2 / real)</span>
</div>
<p class="pardesc">Output image.</p>
</div>
  <div class="par">
<div class="parhead">
<span id="Sigma" class="parname"><b><code><span data-if="hdevelop" style="display:inline">Sigma</span><span data-if="c" style="display:none">Sigma</span><span data-if="cpp" style="display:none">Sigma</span><span data-if="com" style="display:none">Sigma</span><span data-if="dotnet" style="display:none">sigma</span><span data-if="python" style="display:none">sigma</span></code></b> (input_control)  </span><span>real <code>→</code> <span data-if="dotnet" style="display:none"><a href="HTuple.html">HTuple</a></span><span data-if="python" style="display:none">float</span><span data-if="cpp" style="display:none"><a href="HTuple.html">HTuple</a></span><span data-if="c" style="display:none">Htuple</span><span data-if="hdevelop" style="display:inline"> (real)</span><span data-if="dotnet" style="display:none"> (<i>double</i>)</span><span data-if="cpp" style="display:none"> (<i>double</i>)</span><span data-if="c" style="display:none"> (<i>double</i>)</span></span>
</div>
<p class="pardesc">Smoothing parameter for derivative operator.</p>
<p class="pardesc"><span class="parcat">Default:
      </span>0.5</p>
<p class="pardesc"><span class="parcat">Suggested values:
      </span>0.0, 0.1, 0.5, 1.0</p>
<p class="pardesc"><span class="parcat">Restriction:
      </span><code>Sigma &gt;= 0</code></p>
</div>
  <div class="par">
<div class="parhead">
<span id="Theta" class="parname"><b><code><span data-if="hdevelop" style="display:inline">Theta</span><span data-if="c" style="display:none">Theta</span><span data-if="cpp" style="display:none">Theta</span><span data-if="com" style="display:none">Theta</span><span data-if="dotnet" style="display:none">theta</span><span data-if="python" style="display:none">theta</span></code></b> (input_control)  </span><span>real <code>→</code> <span data-if="dotnet" style="display:none"><a href="HTuple.html">HTuple</a></span><span data-if="python" style="display:none">float</span><span data-if="cpp" style="display:none"><a href="HTuple.html">HTuple</a></span><span data-if="c" style="display:none">Htuple</span><span data-if="hdevelop" style="display:inline"> (real)</span><span data-if="dotnet" style="display:none"> (<i>double</i>)</span><span data-if="cpp" style="display:none"> (<i>double</i>)</span><span data-if="c" style="display:none"> (<i>double</i>)</span></span>
</div>
<p class="pardesc">Time step.</p>
<p class="pardesc"><span class="parcat">Default:
      </span>0.5</p>
<p class="pardesc"><span class="parcat">Suggested values:
      </span>0.1, 0.2, 0.3, 0.4, 0.5</p>
<p class="pardesc"><span class="parcat">Restriction:
      </span><code>0 &lt; Theta &lt;= 0.5</code></p>
</div>
  <div class="par">
<div class="parhead">
<span id="Iterations" class="parname"><b><code><span data-if="hdevelop" style="display:inline">Iterations</span><span data-if="c" style="display:none">Iterations</span><span data-if="cpp" style="display:none">Iterations</span><span data-if="com" style="display:none">Iterations</span><span data-if="dotnet" style="display:none">iterations</span><span data-if="python" style="display:none">iterations</span></code></b> (input_control)  </span><span>integer <code>→</code> <span data-if="dotnet" style="display:none"><a href="HTuple.html">HTuple</a></span><span data-if="python" style="display:none">int</span><span data-if="cpp" style="display:none"><a href="HTuple.html">HTuple</a></span><span data-if="c" style="display:none">Htuple</span><span data-if="hdevelop" style="display:inline"> (integer)</span><span data-if="dotnet" style="display:none"> (<i>int</i> / </span><span data-if="dotnet" style="display:none">long)</span><span data-if="cpp" style="display:none"> (<i>Hlong</i>)</span><span data-if="c" style="display:none"> (<i>Hlong</i>)</span></span>
</div>
<p class="pardesc">Number of iterations.</p>
<p class="pardesc"><span class="parcat">Default:
      </span>10</p>
<p class="pardesc"><span class="parcat">Suggested values:
      </span>1, 5, 10, 20, 50, 100, 500</p>
<p class="pardesc"><span class="parcat">Restriction:
      </span><code>Iterations &gt;= 1</code></p>
</div>
<h2 id="sec_references">References</h2>
<p>

 M. G. Crandall, P. Lions; “Convergent Difference Schemes for
Nonlinear Parabolic Equations and Mean Curvature Motion”;
Numer. Math. 75 pp. 17-41; 1996.
<br>
G. Aubert, P. Kornprobst; “Mathematical Problems in Image
Processing”; Applied Mathematical Sciences 147; Springer, New
York; 2002.

</p>
<h2 id="sec_module">模块</h2>
<p>
Foundation</p>
<!--OP_REF_FOOTER_START-->
<hr>
<div class="indexlink">
<a href="index_classes.html"><span data-if="dotnet" style="display:none;">类别</span><span data-if="cpp" style="display:none;">类别</span></a><span data-if="dotnet" style="display:none;"> | </span><span data-if="cpp" style="display:none;"> | </span><a href="index_by_name.html">算子列表</a>
</div>
<div class="footer">
<div class="copyright">HALCON算子参考手册 Copyright © 2015-2023 51Halcon</div>
</div>
</div>
</body>
</html>
